Triple
T555760
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mayfair |
E11937
|
entity |
| Predicate | hasStreet |
P959
|
FINISHED |
| Object | Park Lane |
E78086
|
NE FINISHED |
How this triple was built (2 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: Park Lane | Statement: [Mayfair, hasStreet, Park Lane]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Park Lane Context triple: [Mayfair, hasStreet, Park Lane]
-
A.
Park Lane
chosen
Park Lane is a major road in central London known for its luxury hotels, upscale residences, and proximity to Hyde Park.
-
B.
Hyde Road
Hyde Road was a historic football ground in Manchester, England, best known as the early home of the club that became Manchester City F.C.
-
C.
Weston Road
Weston Road is a major north–south arterial route in the Greater Toronto Area that runs through communities such as Woodbridge in Vaughan.
-
D.
Regent Street
Regent Street is a major shopping and commercial thoroughfare in London’s West End, renowned for its elegant architecture and flagship retail stores.
-
E.
Hampshire Street
Hampshire Street is a roadway in Cambridge, Massachusetts, that runs through the Inman Square neighborhood and connects it with other parts of the city.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69a4932941d08190815efd422f0b4ca7 |
completed | March 1, 2026, 7:27 p.m. |
| NER | Named-entity recognition | batch_69a4991dd7008190a6c1bc8bc832456d |
completed | March 1, 2026, 7:53 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a5914232c481909a39cd3373e3c6c9 |
completed | March 2, 2026, 1:31 p.m. |
Created at: March 1, 2026, 7:32 p.m.