Triple
T11711704
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Georgian football league system |
E278387
|
entity |
| Predicate | includesWomenCompetitions |
P80775
|
FINISHED |
| Object | yes |
—
|
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: yes | Statement: [Georgian football league system, includesWomenCompetitions, yes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: includesWomenCompetitions Context triple: [Georgian football league system, includesWomenCompetitions, yes]
-
A.
includesWomen'sLeagues
chosen
Indicates that the subject entity encompasses, offers, or is associated with one or more leagues specifically organized for women.
-
B.
includesCompetition
Indicates that one entity contains, features, or encompasses a competition as part of its scope or content.
-
C.
conferenceWomen'sSoccer
Indicates that a women's soccer team participates in or is affiliated with a particular athletic conference.
-
D.
qualifyingCompetitionFor
Indicates that one competition serves as a qualifying event for participation in another competition.
-
E.
hasCompetition
Indicates that one entity is in a state of rivalry or contest with another entity, typically competing for the same goal, resource, or advantage.
- 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_69d6aaff2ce88190b4a1e4b341ad5377 |
completed | April 8, 2026, 7:22 p.m. |
| NER | Named-entity recognition | batch_69d8a4be10088190854699385d1f6a95 |
completed | April 10, 2026, 7:20 a.m. |
| PD | Predicate disambiguation | batch_69d88a7d483081909c2a101087515d74 |
completed | April 10, 2026, 5:28 a.m. |
Created at: April 8, 2026, 9:40 p.m.