Triple
T36992367
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Twenty20 |
E915138
|
entity |
| Predicate | hasProfessionalLeagueFormat |
P205681
|
FINISHED |
| Object | franchise-based league |
—
|
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: franchise-based league | Statement: [Twenty20, hasProfessionalLeagueFormat, franchise-based league]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasProfessionalLeagueFormat Context triple: [Twenty20, hasProfessionalLeagueFormat, franchise-based league]
-
A.
isProfessionalLeague
Indicates that a sports league operates at a professional level, typically involving paid athletes and formal organizational structures.
-
B.
hasProfessionalLeague
Indicates that an entity is associated with or participates in a recognized professional sports league.
-
C.
includesProfessionalLeagues
Indicates that an entity contains or encompasses one or more professional sports leagues within its scope or structure.
-
D.
hasProfessionalPlayers
Indicates that an entity is associated with or includes individuals who participate in a profession at a professional level.
-
E.
isMajorProfessionalLeagueIn
Indicates that a professional sports league is recognized as a major league within a specified country or region.
- 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_69f76e8f1a8c81909db172ed31304971 |
completed | May 3, 2026, 3:49 p.m. |
| NER | Named-entity recognition | batch_6a037cad051c8190b28b354b89208574 |
completed | May 12, 2026, 7:17 p.m. |
| PD | Predicate disambiguation | batch_6a037a10036481909c71188b2a0e7f04 |
completed | May 12, 2026, 7:05 p.m. |
| PDg | Predicate description generation | batch_6a037c842b2c819082f1d2db995ac2eb |
completed | May 12, 2026, 7:16 p.m. |
Created at: May 3, 2026, 4:14 p.m.