Triple
T4062634
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Forfar Farmington F.C. |
E86248
|
entity |
| Predicate | hasCompetitionCategory |
P53839
|
FINISHED |
| Object | senior women's 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: senior women's football | Statement: [Forfar Farmington F.C., hasCompetitionCategory, senior women's football]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasCompetitionCategory Context triple: [Forfar Farmington F.C., hasCompetitionCategory, senior women's football]
-
A.
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.
-
B.
hasCompetitionElement
Indicates that one entity includes, involves, or is associated with a specific competitive component, aspect, or feature.
-
C.
hasCompetitionScope
Indicates the extent or boundaries within which a competition, contest, or competitive activity is defined or applies.
-
D.
eligibleCompetition
Indicates that an entity meets the required conditions to participate in a particular competition.
-
E.
includesCompetition
Indicates that one entity contains, features, or encompasses a competition as part of its scope or content.
- 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_69aed93c69208190a4efac0efe3cd69b |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69aefd0bdea48190805a79515ee92709 |
completed | March 9, 2026, 5:02 p.m. |
| PD | Predicate disambiguation | batch_69aef90438908190a005b08ba271eacf |
completed | March 9, 2026, 4:44 p.m. |
| PDg | Predicate description generation | batch_69aefd0995188190b1bc8771fe7f423a |
completed | March 9, 2026, 5:02 p.m. |
Created at: March 9, 2026, 3:38 p.m.