Triple
T24568404
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | EuroCup Women |
E607859
|
entity |
| Predicate | relationToEuroLeagueWomen |
P24471
|
FINISHED |
| Object | secondary competition |
—
|
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: secondary competition | Statement: [EuroCup Women, relationToEuroLeagueWomen, secondary competition]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: relationToEuroLeagueWomen Context triple: [EuroCup Women, relationToEuroLeagueWomen, secondary competition]
-
A.
representsInEuroBasketWomen
Indicates that an entity serves as a representative (such as a player or team) for a country or organization in the EuroBasket Women basketball competition.
-
B.
womenBasketballConference
Indicates a conference or league affiliation specifically for women's basketball teams or programs.
-
C.
relationToLeague
Indicates the type or nature of a team's or participant's association with a specific league (e.g., membership, affiliation, or standing).
-
D.
isEuroBasketTeam
Indicates that a team participates in the EuroBasket basketball championship competition.
-
E.
sisterLeague
chosen
Indicates that two sports leagues are considered counterparts or partners at a similar level, often collaborating or aligned in status or structure.
- 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_69e2c4cc35a48190990b7571bc086df8 |
completed | April 17, 2026, 11:39 p.m. |
| NER | Named-entity recognition | batch_69f2a9225d9c8190ae92e5540f6c45c2 |
completed | April 30, 2026, 12:58 a.m. |
| PD | Predicate disambiguation | batch_69f2a6b99e7c8190ba7e2dc8729a314a |
completed | April 30, 2026, 12:47 a.m. |
Created at: April 18, 2026, 2:28 a.m.