Triple
T6520760
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tottenham Court Road station |
E148373
|
entity |
| Predicate | servesArea |
P82
|
FINISHED |
| Object | Theatreland |
E376835
|
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: Theatreland | Statement: [Tottenham Court Road station, servesArea, Theatreland]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Theatreland Context triple: [Tottenham Court Road station, servesArea, Theatreland]
-
A.
Theatreland
chosen
Theatreland is the famous concentration of major commercial theatres in London’s West End, known for its long-running plays and musicals.
-
B.
Westend
Westend is a prominent and affluent district in Frankfurt am Main, Germany, known for its elegant residential areas and concentration of banks and corporate offices.
-
C.
Broadway
Broadway is a major thoroughfare in Cambridge, Massachusetts, running through the city center and connecting key academic, residential, and commercial areas.
-
D.
Broadway
Broadway is a major thoroughfare in New York City famous for its historic theaters and role as the heart of American commercial theater.
-
E.
Broadway
Broadway is a major thoroughfare in Oakland, California, serving as a key commercial and transportation corridor through the city’s downtown.
- 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_69c687e68e748190baceb9298f32d3ed |
completed | March 27, 2026, 1:36 p.m. |
| NER | Named-entity recognition | batch_69c6ad9431f081909b14b3df3414a55f |
completed | March 27, 2026, 4:17 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c6cb6f934481908a95d7424aa23414 |
completed | March 27, 2026, 6:24 p.m. |
Created at: March 27, 2026, 1:45 p.m.