Triple
T20836010
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Željo |
E512960
|
entity |
| Predicate | associatedClubSport |
P142014
|
FINISHED |
| Object | association football |
—
|
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: association football | Statement: [Željo, associatedClubSport, association football]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: associatedClubSport Context triple: [Željo, associatedClubSport, association football]
-
A.
associatedClubState
Indicates that there is a relationship between an entity and the state-level club or organization with which it is formally connected or affiliated.
-
B.
associatedClubShortName
Indicates that there is a relationship linking an entity to the abbreviated or short name of a club with which it is associated.
-
C.
associatedClubStatus
Indicates the status or condition of a club as it relates to a particular entity or relationship.
-
D.
associatedClubOwner
Indicates that there is an ownership or proprietorship relationship between a club and its associated owner.
-
E.
relatedToClub
Indicates that there is an association or connection between an entity and a club, without specifying the exact nature of that relationship.
- 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_69e0b4cf62a88190bbf92351e9e57259 |
completed | April 16, 2026, 10:07 a.m. |
| NER | Named-entity recognition | batch_69e6c326daec8190bd4caa41a4b38833 |
completed | April 21, 2026, 12:21 a.m. |
| PD | Predicate disambiguation | batch_69e5c9a1f4f48190aa9fb4ef8f8aea5a |
completed | April 20, 2026, 6:37 a.m. |
| PDg | Predicate description generation | batch_69e5d53c4d6881909b4d0a716fa5ed4a |
completed | April 20, 2026, 7:26 a.m. |
Created at: April 16, 2026, 12:42 p.m.