Triple
T9105058
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lawrence Batley Theatre |
E218457
|
entity |
| Predicate | hasCafeBar |
P24664
|
FINISHED |
| Object | yes |
—
|
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: yes | Statement: [Lawrence Batley Theatre, hasCafeBar, yes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasCafeBar Context triple: [Lawrence Batley Theatre, hasCafeBar, yes]
-
A.
hasLoungeOrCafe
Indicates that one entity provides or includes access to a lounge or café associated with another entity.
-
B.
hasCafes
chosen
Indicates that one entity possesses, contains, or includes one or more cafes within it.
-
C.
hasBarService
Indicates that one entity provides or features bar service for another entity or at a given location.
-
D.
hasCaffeinatedOption
Indicates that something offers or includes at least one option that contains caffeine.
-
E.
hasBeverageCategory
Indicates that an entity is associated with or classified under a particular beverage category.
- 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_69ca83db7448819090d0a5de842ef2ac |
completed | March 30, 2026, 2:08 p.m. |
| NER | Named-entity recognition | batch_69cca5714d048190a633caaaa707ac3b |
completed | April 1, 2026, 4:56 a.m. |
| PD | Predicate disambiguation | batch_69cc65fc7f408190a5846e29ab3b97e5 |
completed | April 1, 2026, 12:25 a.m. |
Created at: March 30, 2026, 7:15 p.m.