Triple
T18017590
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Theatre Royal Haymarket |
E431033
|
entity |
| Predicate | locatedOn |
P40
|
FINISHED |
| Object | Haymarket |
—
|
NE NERFINISHED |
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: Haymarket | Statement: [Theatre Royal Haymarket, locatedOn, Haymarket]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Haymarket Context triple: [Theatre Royal Haymarket, locatedOn, Haymarket]
-
A.
Haymarket
Haymarket is a major transport hub and district in Edinburgh, Scotland, known for its busy railway station and tram stop connecting the city center with the west and the airport.
-
B.
Haymarket
Haymarket is an inner-city suburb of Sydney, Australia, known for its bustling markets, Chinatown precinct, and proximity to major transport and commercial hubs.
-
C.
Haymarket
Haymarket is a major subway station in downtown Boston serving the MBTA Green and Orange Lines and providing access to nearby markets and civic areas.
-
D.
Haymarket
Haymarket is a small historic town in Prince William County, Northern Virginia, known for its quaint downtown and proximity to Washington, D.C.
-
E.
Haymarket
chosen
Haymarket is a historic street in the City of Westminster, central London, known for its theatres, entertainment venues, and proximity to major West End attractions.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69d8b904530081908bf341d842464856 |
completed | April 10, 2026, 8:47 a.m. |
| NER | Named-entity recognition | batch_69e4b9bf85c08190a40cef4c6d7b566a |
completed | April 19, 2026, 11:17 a.m. |
Created at: April 10, 2026, 10:24 a.m.