Triple
T27892531
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Goa Football Association |
E705392
|
entity |
| Predicate | headOfSport |
P163259
|
FINISHED |
| Object | football in Goa |
—
|
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: football in Goa | Statement: [Goa Football Association, headOfSport, football in Goa]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: headOfSport Context triple: [Goa Football Association, headOfSport, football in Goa]
-
A.
sportingDirector
Indicates that one entity serves as the sporting director (overseeing sports-related operations and strategy) for another entity, typically a sports club or organization.
-
B.
headCoachTo
Indicates that one entity serves as the head coach of another entity, such as a team or organization.
-
C.
playersUnionLeader
Indicates that the subject serves as the leader or head representative of a players' union in relation to the object.
-
D.
sportingTitle
Indicates that one entity holds or is identified by a specific sports-related rank, honor, or championship title in relation to another entity.
-
E.
sportsIdentity
Indicates that an entity’s identity, role, or affiliation is defined in the context of sports (e.g., as an athlete, team, or sports-related organization).
- F. None of above. chosen
Provenance (4 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_69ef96b39c448190a9b3aa6672a5168f |
completed | April 27, 2026, 5:02 p.m. |
| NER | Named-entity recognition | batch_69f639b6405081908f52f931b59520ef |
completed | May 2, 2026, 5:51 p.m. |
| PD | Predicate disambiguation | batch_69f6318be69481909d1bcf29b7b60eb2 |
completed | May 2, 2026, 5:17 p.m. |
| PDg | Predicate description generation | batch_69f6352df6148190bc10772cd40bd7b3 |
completed | May 2, 2026, 5:32 p.m. |
Created at: April 27, 2026, 6:36 p.m.