Triple
T23284122
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | No-Limit Texas Hold'em |
E588942
|
entity |
| Predicate | isMostPopularPokerVariant |
P151673
|
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: [No-Limit Texas Hold'em, isMostPopularPokerVariant, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isMostPopularPokerVariant Context triple: [No-Limit Texas Hold'em, isMostPopularPokerVariant, true]
-
A.
hasCardGameVariant
Indicates that one game is a variation or modified form of another card game.
-
B.
isTypicallyPlayed
Indicates that an activity, game, or sport is commonly engaged in or performed by a particular type of participant or group.
-
C.
typeOfStake
Indicates the specific kind or category of stake or ownership interest that one entity holds in another.
-
D.
primaryGameType
Indicates the main category or type of game with which an entity is primarily associated.
-
E.
playsSevensVariant
Indicates that an entity participates in or engages in a sevens variant of a game or sport.
- 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_69e25d16e2c08190a291de254703129e |
completed | April 17, 2026, 4:17 p.m. |
| NER | Named-entity recognition | batch_69f196454b4c8190a797537ce8912241 |
completed | April 29, 2026, 5:25 a.m. |
| PD | Predicate disambiguation | batch_69effcecabd88190856fb6e1d993e4dd |
completed | April 28, 2026, 12:18 a.m. |
| PDg | Predicate description generation | batch_69f01d8770d081908897c28b04e5faea |
completed | April 28, 2026, 2:37 a.m. |
Created at: April 17, 2026, 4:58 p.m.