Triple
T7445445
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Showplace of the Nation |
E171864
|
entity |
| Predicate | relatedToGenre |
P33225
|
FINISHED |
| Object | live performance |
—
|
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: live performance | Statement: [Showplace of the Nation, relatedToGenre, live performance]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: relatedToGenre Context triple: [Showplace of the Nation, relatedToGenre, live performance]
-
A.
influencedByGenre
Indicates that something’s characteristics, style, or development are shaped or affected by a particular genre.
-
B.
coveredInGenre
chosen
Indicates that a work or item is associated with, categorized under, or treated within a particular genre.
-
C.
commonGenre
Indicates that two entities share at least one genre in common.
-
D.
associatedWithGenreScene
Indicates that an entity is connected or related to a particular genre scene, such as a specific stylistic or cultural subcommunity within a broader genre.
-
E.
associatedDiscovery
Indicates that one entity is linked to, or involved in, the finding or uncovering of another entity.
- 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_69c68a65402881908f7869368eb746fb |
completed | March 27, 2026, 1:47 p.m. |
| NER | Named-entity recognition | batch_69c6f37054388190a6cb4c0db2ca6014 |
completed | March 27, 2026, 9:15 p.m. |
| PD | Predicate disambiguation | batch_69c6f039f7248190bb4183f97b605763 |
completed | March 27, 2026, 9:01 p.m. |
Created at: March 27, 2026, 3:14 p.m.