Triple
T23284175
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pot-Limit Omaha |
E588943
|
entity |
| Predicate | requiresBlinds |
P151678
|
FINISHED |
| Object | small blind |
—
|
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: small blind | Statement: [Pot-Limit Omaha, requiresBlinds, small blind]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: requiresBlinds Context triple: [Pot-Limit Omaha, requiresBlinds, small blind]
-
A.
hasDraperies
Indicates that one entity is furnished with or contains draperies (such as curtains or hanging fabric coverings).
-
B.
hasCurtainMechanism
Indicates that one entity is equipped with or includes a mechanism for operating a curtain.
-
C.
requiresHouse
Indicates that one entity depends on or needs a house (or housing) in order for a condition, action, or relationship to be fulfilled.
-
D.
hasViewingConditions
Indicates that one entity is associated with specific viewing conditions under which it is meant to be observed or evaluated.
-
E.
masterIsBlind
Indicates that the master in the relationship lacks sight or is unable to see.
- 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.