Triple
T80183
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Isaac Newton |
E1610
|
entity |
| Predicate | deathPlace |
P21
|
FINISHED |
| Object |
Kensington
Kensington is a district in West London, England, known for its affluent residential areas, cultural institutions, and royal associations.
|
E14419
|
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 | Statement: [Isaac Newton, deathPlace, Kensington]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kensington Context triple: [Isaac Newton, deathPlace, Kensington]
-
A.
Buckhaven
Buckhaven is a coastal town in eastern Scotland, situated on the Firth of Forth in the historic county of Fife.
-
B.
South Acton
South Acton is a commuter rail station in Acton, Massachusetts, serving as a key stop on the MBTA’s Fitchburg Line between Boston and communities to the northwest.
-
C.
Castlefield
Castlefield is a historic urban area in Manchester, England, known for its preserved industrial heritage, canals, and Roman origins.
-
D.
Kendal Green
Kendal Green is a commuter rail station in Weston, Massachusetts, served by the MBTA's Fitchburg Line.
-
E.
Manchester Victoria
Manchester Victoria is a major railway station in Manchester city centre, serving as a key hub for regional and local train services across northern England.
- 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 Triple: [Isaac Newton, deathPlace, Kensington]
Generated description
Kensington is a district in West London, England, known for its affluent residential areas, cultural institutions, and royal associations.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Kensington Target entity description: Kensington is a district in West London, England, known for its affluent residential areas, cultural institutions, and royal associations.
-
A.
Buckhaven
Buckhaven is a coastal town in eastern Scotland, situated on the Firth of Forth in the historic county of Fife.
-
B.
South Acton
South Acton is a commuter rail station in Acton, Massachusetts, serving as a key stop on the MBTA’s Fitchburg Line between Boston and communities to the northwest.
-
C.
Castlefield
Castlefield is a historic urban area in Manchester, England, known for its preserved industrial heritage, canals, and Roman origins.
-
D.
Kendal Green
Kendal Green is a commuter rail station in Weston, Massachusetts, served by the MBTA's Fitchburg Line.
-
E.
Manchester Victoria
Manchester Victoria is a major railway station in Manchester city centre, serving as a key hub for regional and local train services across northern England.
- 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_69a24c60d19c8190a1b6c105ca59ef5b |
completed | Feb. 28, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69a24f335b5c8190bf2158d884890ac2 |
completed | Feb. 28, 2026, 2:13 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a29e43eaf88190b153139b9710d5d2 |
completed | Feb. 28, 2026, 7:50 a.m. |
| NEDg | Description generation | batch_69a2a0ddf1808190aa825bad41938aed |
completed | Feb. 28, 2026, 8:01 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69a2a247f51c8190a45164399c42fb29 |
completed | Feb. 28, 2026, 8:07 a.m. |
Created at: Feb. 28, 2026, 2:06 a.m.