Triple
T25863767
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Celtic F.C. Reserves and Juniors |
E651555
|
entity |
| Predicate | leagueParticipationType |
P104668
|
FINISHED |
| Object | youth leagues |
—
|
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: youth leagues | Statement: [Celtic F.C. Reserves and Juniors, leagueParticipationType, youth leagues]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: leagueParticipationType Context triple: [Celtic F.C. Reserves and Juniors, leagueParticipationType, youth leagues]
-
A.
leagueParticipations
chosen
Indicates participation relationships where an entity takes part in one or more leagues or league seasons.
-
B.
leagueParticipationEra
Indicates the time period or era during which an entity participated in a particular league.
-
C.
leagueInvolvement
Indicates that an entity participates in, is affiliated with, or is otherwise involved in a particular league.
-
D.
clubsParticipateIn
Indicates that one or more clubs take part in, are involved with, or are registered to participate in a particular event, activity, or competition.
-
E.
supportsLeagueParticipation
Indicates that one entity enables, facilitates, or allows another entity to take part in a league or league-based competition.
- 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_69e7ab3a199c81909227cb964cacfe24 |
completed | April 21, 2026, 4:52 p.m. |
| NER | Named-entity recognition | batch_69f603bb02288190b40cedbed5b9651d |
completed | May 2, 2026, 2:01 p.m. |
| PD | Predicate disambiguation | batch_69f602d07590819085ac34b189613104 |
completed | May 2, 2026, 1:57 p.m. |
Created at: April 22, 2026, 8:06 a.m.