Triple
T15962824
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tunisian football league system |
E387103
|
entity |
| Predicate | includesReserveAndYouthStructure |
P120630
|
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: [Tunisian football league system, includesReserveAndYouthStructure, yes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: includesReserveAndYouthStructure Context triple: [Tunisian football league system, includesReserveAndYouthStructure, yes]
-
A.
includesYouthLeagues
Indicates that the subject entity offers, contains, or is associated with organized leagues or programs specifically for youth participants.
-
B.
includesClubLevel
Indicates that one entity encompasses or provides access to a specific club-level tier, area, or privileges associated with another entity.
-
C.
rankStructureIncludes
Indicates that a given rank structure contains or encompasses a specified rank or set of ranks within its hierarchy.
-
D.
includesLeague
Indicates that an entity (such as a competition, organization, or system) contains or encompasses a specific league as one of its components.
-
E.
participationIncludes
Indicates that a broader participation instance encompasses or contains a more specific participation instance as part of it.
- 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_69d86da882448190a82ea962fe343b79 |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e173b3bf6c81909230170e833d7ce7 |
completed | April 16, 2026, 11:41 p.m. |
| PD | Predicate disambiguation | batch_69e142d6fb588190b4176eab4bbae774 |
completed | April 16, 2026, 8:13 p.m. |
| PDg | Predicate description generation | batch_69e173af801c8190bfc0f602831bb594 |
completed | April 16, 2026, 11:41 p.m. |
Created at: April 10, 2026, 4:53 a.m.