Triple
T38568758
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Turkish Women's Basketball Cup |
E928303
|
entity |
| Predicate | complementsCompetition |
P162
|
FINISHED |
| Object | Turkish Women's Basketball League |
—
|
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: Turkish Women's Basketball League | Statement: [Turkish Women's Basketball Cup, complementsCompetition, Turkish Women's Basketball League]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: complementsCompetition Context triple: [Turkish Women's Basketball Cup, complementsCompetition, Turkish Women's Basketball League]
-
A.
competesWith
Indicates that two entities are in rivalry or opposition, each striving to outperform or gain advantage over the other in the same domain or objective.
-
B.
complements
chosen
Indicates that one entity enhances, completes, or improves another by providing qualities or functions that fit well together.
-
C.
competitionFrom
Indicates that one entity is experiencing competitive pressure or rivalry originating from another entity.
-
D.
competitionOf
Indicates a relationship where one entity is the competitive event, contest, or rivalry involving another entity.
-
E.
tieneCompetenciaEn
Indicates that an entity possesses skill, expertise, or competence in a specific area, field, or activity.
- 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_69f76eb8d1808190a588af29d8b266d6 |
completed | May 3, 2026, 3:50 p.m. |
| NER | Named-entity recognition | batch_69fcdaa36f90819093f8661969990c7d |
completed | May 7, 2026, 6:32 p.m. |
| PD | Predicate disambiguation | batch_69fcd8fefc588190b063d7ea1ec87b07 |
completed | May 7, 2026, 6:25 p.m. |
Created at: May 3, 2026, 4:32 p.m.