Triple
T32381777
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Slovenian football leagues |
E827440
|
entity |
| Predicate | womenSystemTopDivision |
P174004
|
FINISHED |
| Object | Slovenian Women's 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: Slovenian Women's League | Statement: [Slovenian football leagues, womenSystemTopDivision, Slovenian Women's League]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: womenSystemTopDivision Context triple: [Slovenian football leagues, womenSystemTopDivision, Slovenian Women's League]
-
A.
womenTeam
Indicates that the team is composed of women or is designated as a women’s team.
-
B.
featuresWomenTeams
Indicates that the subject includes, presents, or involves teams composed of women.
-
C.
hasWomenTeamInLeague
Indicates that an entity has a women’s team that participates in a specified league.
-
D.
womenTeamsCount
Indicates the number of teams composed of women associated with a given entity or context.
-
E.
womenTeamSuccessor
Indicates that one women's team is the successor or follow-up to another women's team, continuing its role, identity, or competitive position.
- 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_69f349177ddc8190ab0583f05597056b |
completed | April 30, 2026, 12:20 p.m. |
| NER | Named-entity recognition | batch_69f6c1cb5598819081094ec74ca36bfa |
completed | May 3, 2026, 3:32 a.m. |
| PD | Predicate disambiguation | batch_69f6ba6eb32c8190bf405b2011fa48f7 |
completed | May 3, 2026, 3:01 a.m. |
| PDg | Predicate description generation | batch_69f6bb344bb48190a8089f29c0063ded |
completed | May 3, 2026, 3:04 a.m. |
Created at: May 1, 2026, 12:51 a.m.