Triple
T7611032
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Marlowe Theatre |
E172235
|
entity |
| Predicate | hasMainAuditoriumType |
P70537
|
FINISHED |
| Object | proscenium arch theatre |
—
|
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: proscenium arch theatre | Statement: [The Marlowe Theatre, hasMainAuditoriumType, proscenium arch theatre]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasMainAuditoriumType Context triple: [The Marlowe Theatre, hasMainAuditoriumType, proscenium arch theatre]
-
A.
hasAuditorium
Indicates that one entity possesses or includes an auditorium as part of its facilities.
-
B.
hasMainHallType
Indicates the specific category or kind of main hall associated with an entity.
-
C.
auditoriumType
chosen
Indicates the specific kind or category of auditorium associated with an entity.
-
D.
hasMainHall
Indicates that an entity possesses or includes a primary or central hall as a significant internal space.
-
E.
hasMainHallShape
Indicates that an entity’s main hall has a specific geometric or structural shape.
- 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_69c6994f50808190ba228764bb422417 |
completed | March 27, 2026, 2:50 p.m. |
| NER | Named-entity recognition | batch_69c6fa221c848190b892ba1caec8d83a |
completed | March 27, 2026, 9:44 p.m. |
| PD | Predicate disambiguation | batch_69c6f4e485f88190910b39da52a955fe |
completed | March 27, 2026, 9:21 p.m. |
Created at: March 27, 2026, 3:55 p.m.