Triple
T509919
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kensington Palace |
E10583
|
entity |
| Predicate | hasPart |
P35
|
FINISHED |
| Object |
Kensington Palace Gardens (street of embassies and residences nearby)
Kensington Palace Gardens is an exclusive, tree-lined residential street in London’s Kensington district, renowned for its grand mansions, diplomatic embassies, and some of the most expensive properties in the world.
|
E63515
|
NE FINISHED |
How this triple was built (4 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Kensington Palace Gardens (street of embassies and residences nearby) | Statement: [Kensington Palace, hasPart, Kensington Palace Gardens (street of embassies and residences nearby)]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kensington Palace Gardens (street of embassies and residences nearby) Context triple: [Kensington Palace, hasPart, Kensington Palace Gardens (street of embassies and residences nearby)]
-
A.
Kensington Palace, London
Kensington Palace, London is a historic royal residence in Kensington Gardens that has long served as a home for members of the British royal family.
-
B.
Palace Embankment
Palace Embankment is a historic waterfront promenade in Saint Petersburg, Russia, renowned for its grand palaces and cultural landmarks along the Neva River.
-
C.
Tavistock Square, London
Tavistock Square, London is a historic garden square in Bloomsbury known for its literary and intellectual associations, including its connection to members of the Bloomsbury Group.
-
D.
London Terrace
London Terrace is a historic, massive apartment complex in Manhattan’s Chelsea neighborhood, known for its distinctive prewar architecture and full-block footprint.
-
E.
Piccadilly Gardens
Piccadilly Gardens is a central public square and green space in Manchester, England, known as a major transport hub and social gathering spot surrounded by shops, offices, and restaurants.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Kensington Palace Gardens (street of embassies and residences nearby) Triple: [Kensington Palace, hasPart, Kensington Palace Gardens (street of embassies and residences nearby)]
Generated description
Kensington Palace Gardens is an exclusive, tree-lined residential street in London’s Kensington district, renowned for its grand mansions, diplomatic embassies, and some of the most expensive properties in the world.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Kensington Palace Gardens (street of embassies and residences nearby) Target entity description: Kensington Palace Gardens is an exclusive, tree-lined residential street in London’s Kensington district, renowned for its grand mansions, diplomatic embassies, and some of the most expensive properties in the world.
-
A.
Kensington Palace, London
Kensington Palace, London is a historic royal residence in Kensington Gardens that has long served as a home for members of the British royal family.
-
B.
Palace Embankment
Palace Embankment is a historic waterfront promenade in Saint Petersburg, Russia, renowned for its grand palaces and cultural landmarks along the Neva River.
-
C.
Tavistock Square, London
Tavistock Square, London is a historic garden square in Bloomsbury known for its literary and intellectual associations, including its connection to members of the Bloomsbury Group.
-
D.
London Terrace
London Terrace is a historic, massive apartment complex in Manhattan’s Chelsea neighborhood, known for its distinctive prewar architecture and full-block footprint.
-
E.
Piccadilly Gardens
Piccadilly Gardens is a central public square and green space in Manchester, England, known as a major transport hub and social gathering spot surrounded by shops, offices, and restaurants.
- F. None of above. chosen
Provenance (5 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69a2e848adf881908e5e04f7af030093 |
completed | Feb. 28, 2026, 1:06 p.m. |
| NER | Named-entity recognition | batch_69a2f164a9d48190b525a97b5c06ffe2 |
completed | Feb. 28, 2026, 1:45 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a49ebaf5c48190b24614b2a1ab9466 |
completed | March 1, 2026, 8:16 p.m. |
| NEDg | Description generation | batch_69a49f48310c8190b32590d22d5728ba |
completed | March 1, 2026, 8:19 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69a49ff5aea48190b84eba05fca4278a |
completed | March 1, 2026, 8:22 p.m. |
Created at: Feb. 28, 2026, 1:12 p.m.