Triple
T1443314
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Copa MX |
E31121
|
entity |
| Predicate | hasFinalVenueType |
P10640
|
FINISHED |
| Object | neutral venue |
—
|
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: neutral venue | Statement: [Copa MX, hasFinalVenueType, neutral venue]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasFinalVenueType Context triple: [Copa MX, hasFinalVenueType, neutral venue]
-
A.
hasSportsVenueType
Indicates that a sports venue is classified as being of a specific type or category (e.g., stadium, arena, court).
-
B.
refersToVenueType
chosen
Indicates that one entity specifies or identifies the type or category of venue associated with another entity.
-
C.
hasEntertainmentVenue
Indicates that an entity possesses, contains, or is associated with an entertainment venue as part of its facilities or offerings.
-
D.
hasCampType
Indicates that an entity is associated with or classified by a particular type or category of camp.
-
E.
organizerOfFinalVenueSelection
Indicates the entity that is responsible for organizing or managing the process of selecting the final venue.
- 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_69a4991633388190a4d61b5a98aa407a |
completed | March 1, 2026, 7:52 p.m. |
| NER | Named-entity recognition | batch_69a4c55714588190a95b4f677c21cbaa |
completed | March 1, 2026, 11:01 p.m. |
| PD | Predicate disambiguation | batch_69a4c47a840c819083307a65c027a19e |
completed | March 1, 2026, 10:58 p.m. |
Created at: March 1, 2026, 8 p.m.