Triple
T26759355
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | CHI |
E674756
|
entity |
| Predicate | memberAssociationOf |
P27891
|
FINISHED |
| Object | FIFA |
—
|
NE NERFINISHED |
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: FIFA | Statement: [CHI, memberAssociationOf, FIFA]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: memberAssociationOf Context triple: [CHI, memberAssociationOf, FIFA]
-
A.
membershipIn
chosen
Indicates that an entity belongs to, is part of, or holds membership in a particular group, organization, or collection.
-
B.
memberFrom
Indicates that an entity is a member originating from, or associated with, a particular source, group, or location.
-
C.
membershipBy
Indicates that one entity holds membership or belongs to a group, organization, or collection defined by another entity.
-
D.
membershipConsistsOf
Indicates that a membership is composed of, or includes, specific member entities as its constituents.
-
E.
organizationAssociatedWith
Indicates that there is a formal or recognized connection or affiliation between an organization and 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_69eecda6e9dc81908452fab3ba17ed9b |
completed | April 27, 2026, 2:44 a.m. |
| NER | Named-entity recognition | batch_69f6c1265c208190aacd2b551f8f0f82 |
completed | May 3, 2026, 3:29 a.m. |
| PD | Predicate disambiguation | batch_69f6bd2415fc81908c23c311aebce66f |
completed | May 3, 2026, 3:12 a.m. |
Created at: April 27, 2026, 3:57 a.m.