Triple
T21052017
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Fox Theatre St. Louis |
E518610
|
entity |
| Predicate | neighborhood |
P988
|
FINISHED |
| Object | Grand Center |
—
|
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: Grand Center | Statement: [Fox Theatre St. Louis, neighborhood, Grand Center]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Grand Center Context triple: [Fox Theatre St. Louis, neighborhood, Grand Center]
-
A.
Grand Center
chosen
Grand Center is a prominent arts and entertainment district in St. Louis, Missouri, known for its concentration of theaters, museums, galleries, and cultural institutions.
-
B.
Downtown Center
Downtown Center is an urban Broward College campus location serving students in the heart of downtown with higher-education programs and services.
-
C.
Downtown Center
Downtown Center is a Pensacola State College campus located in downtown Pensacola that offers higher education courses and workforce training programs.
-
D.
West Center
West Center is a small village within the town of West Stockbridge in Berkshire County, western Massachusetts.
-
E.
Civic Center
Civic Center is a major medical and research district in Miami known for its concentration of hospitals, universities, and healthcare institutions.
- 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_69e0b5053ac48190921529544959e906 |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69e6fd7bd96c81909cb46419ad4e1222 |
completed | April 21, 2026, 4:30 a.m. |
Created at: April 16, 2026, 2:35 p.m.