Triple
T28602365
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | League of Ireland First Division |
E723946
|
entity |
| Predicate | hasSemiProfessionalClubs |
P79958
|
FINISHED |
| Object | true |
—
|
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: true | Statement: [League of Ireland First Division, hasSemiProfessionalClubs, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasSemiProfessionalClubs Context triple: [League of Ireland First Division, hasSemiProfessionalClubs, true]
-
A.
hasProfessionalClubs
Indicates that there exists a professional sports or activity club associated with, based in, or belonging to the given entity.
-
B.
includesSemiProfessionalLeagues
Indicates that the subject entity encompasses or contains semi-professional leagues within its structure or scope.
-
C.
featuresSemiProfessionalClubs
chosen
Indicates that the subject includes or hosts semi-professional clubs as part of its structure or offerings.
-
D.
hasProfessionalPlayers
Indicates that an entity is associated with or includes individuals who participate in a profession at a professional level.
-
E.
hasSportsClubs
Indicates that an entity possesses, hosts, or is associated with one or more sports clubs.
- 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_69f01d80b1908190980594837604b8c7 |
completed | April 28, 2026, 2:37 a.m. |
| NER | Named-entity recognition | batch_69fd8e5f7c4c8190ab8e2f2a7bb1bd79 |
completed | May 8, 2026, 7:18 a.m. |
| PD | Predicate disambiguation | batch_69fd8d8a16f08190b9e880901bfa44fe |
completed | May 8, 2026, 7:15 a.m. |
Created at: April 28, 2026, 4:25 a.m.