Triple
T18782493
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Welsh football league system |
E459291
|
entity |
| Predicate | allowsCrossBorderClubs |
P74114
|
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: [Welsh football league system, allowsCrossBorderClubs, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: allowsCrossBorderClubs Context triple: [Welsh football league system, allowsCrossBorderClubs, true]
-
A.
crossBorderLeague
chosen
Indicates that a sports league or competition includes teams or participants from multiple countries, crossing national borders.
-
B.
allowsForeignPlayers
Indicates that an entity permits participation or involvement by players who are from foreign countries or outside its primary jurisdiction.
-
C.
eligibleClubs
Indicates that certain clubs meet the required criteria or conditions to qualify for a specified status, activity, or benefit.
-
D.
supportsClubInLeague
Indicates that one entity provides backing or sponsorship for a club participating in a particular league.
-
E.
nonEuroMembersMayParticipateIn
Indicates that entities which are not members of the Euro area are allowed to take part in a specified activity, process, or arrangement.
- 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_69d8d396f54c8190ba49db31e8743842 |
completed | April 10, 2026, 10:40 a.m. |
| NER | Named-entity recognition | batch_69e5977d7c5c8190ab2aadb47283965d |
completed | April 20, 2026, 3:03 a.m. |
| PD | Predicate disambiguation | batch_69e48d16dd34819096e096d0c0e4c15c |
completed | April 19, 2026, 8:06 a.m. |
Created at: April 10, 2026, 11:52 a.m.