Triple
T6437709
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Morosco Theatre |
E129939
|
entity |
| Predicate | locatedIn |
P40
|
FINISHED |
| Object | Theatre District |
E746
|
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: Theatre District | Statement: [Morosco Theatre, locatedIn, Theatre District]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Theatre District Context triple: [Morosco Theatre, locatedIn, Theatre District]
-
A.
Theatre District
The Theatre District is a vibrant Boston neighborhood known for its historic playhouses, Broadway-style shows, and lively nightlife.
-
B.
Broadway Theatre District
chosen
The Broadway Theatre District is New York City's famed hub of live theater and musicals, centered around Times Square and known as the pinnacle of American commercial stage performance.
-
C.
Belmont Theater District
The Belmont Theater District is a vibrant Chicago neighborhood hub known for its concentration of live performance venues, comedy clubs, and independent theaters.
-
D.
Leather District
The Leather District is a small historic neighborhood in Boston known for its 19th-century brick warehouse buildings and former leather industry.
-
E.
Flower District
The Flower District is a renowned wholesale and retail flower market area in Downtown Los Angeles, known for its dense concentration of vendors selling fresh flowers, plants, and floral supplies.
- 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_69c0084caac48190a7bc2ad8ba44536f |
completed | March 22, 2026, 3:18 p.m. |
| NER | Named-entity recognition | batch_69c06964186c8190aeeb0038f4696032 |
completed | March 22, 2026, 10:12 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c640f56ee881909f7b7f0909e1d701 |
completed | March 27, 2026, 8:33 a.m. |
Created at: March 22, 2026, 4:45 p.m.