Triple
T23284157
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pot-Limit Omaha |
E588943
|
entity |
| Predicate | requiresBoardCardsInHand |
P151677
|
FINISHED |
| Object | exactly 3 of 5 board cards must be used |
—
|
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: exactly 3 of 5 board cards must be used | Statement: [Pot-Limit Omaha, requiresBoardCardsInHand, exactly 3 of 5 board cards must be used]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: requiresBoardCardsInHand Context triple: [Pot-Limit Omaha, requiresBoardCardsInHand, exactly 3 of 5 board cards must be used]
-
A.
hasNumberOfCards
Indicates that an entity is associated with a specific quantity of cards.
-
B.
containsCard
Indicates that one entity includes or holds a specific card as part of its contents or collection.
-
C.
hasBasicCardSet
Indicates that an entity is associated with or includes a fundamental or default set of cards.
-
D.
hasBoardComposition
Indicates that an entity has a specific structure or makeup of its governing board, such as the types or proportions of members who serve on it.
-
E.
usesMinimumCopiesPerCard
Indicates that there is a constraint specifying the minimum number of copies of each card that must be used or included in a given context.
- 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.