Triple
T2076176
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | New England Conservatory of Music |
E44927
|
entity |
| Predicate | Jordan HallIs |
P17368
|
FINISHED |
| Object | concert hall |
—
|
LITERAL 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: concert hall | Statement: [New England Conservatory of Music, Jordan HallIs, concert hall]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: Jordan HallIs Context triple: [New England Conservatory of Music, Jordan HallIs, concert hall]
-
A.
hasMainHall
Indicates that an entity possesses or includes a primary or central hall as a significant internal space.
-
B.
cityHallOf
Indicates that one entity serves as the official city hall building or administrative center for the specified city.
-
C.
hasMainHallType
Indicates the specific category or kind of main hall associated with an entity.
-
D.
hasCityHall
Indicates that a location or administrative area possesses or is served by a specific city hall building or institution.
-
E.
hasAuditorium
chosen
Indicates that one entity possesses or includes an auditorium as part of its facilities.
- F. None of above.
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_69a88916c2b48190a5ca2e9b12cad3ed |
completed | March 4, 2026, 7:33 p.m. |
| NER | Named-entity recognition | batch_69abba127dcc81909c2365d455eeb746 |
completed | March 7, 2026, 5:39 a.m. |
| PD | Predicate disambiguation | batch_69abb7b0edac8190a58eabee55f73deb |
completed | March 7, 2026, 5:29 a.m. |
Created at: March 4, 2026, 7:41 p.m.