Triple
T23284108
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | No-Limit Texas Hold'em |
E588942
|
entity |
| Predicate | communityCardsOnBoard |
P151668
|
FINISHED |
| Object | 5 |
—
|
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: 5 | Statement: [No-Limit Texas Hold'em, communityCardsOnBoard, 5]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: communityCardsOnBoard Context triple: [No-Limit Texas Hold'em, communityCardsOnBoard, 5]
-
A.
communityBoard
Indicates a relationship where an entity serves as or is associated with a local governing or advisory community board responsible for representing and addressing community interests.
-
B.
communityAspect
Indicates that something pertains to, reflects, or influences the communal or social dimension of a group or community.
-
C.
associatedCommunity
Indicates a relationship where an entity is linked or connected to a particular community with which it is involved or identified.
-
D.
communityOrganizations
Indicates that there is an association or involvement between entities and one or more community-based organizations or groups.
-
E.
collaboratingCommunity
Indicates that two or more entities are actively working together toward shared goals or projects as part of a community relationship.
- 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.