Triple
T17076218
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Big Two |
E414353
|
entity |
| Predicate | fiveCardCombinationType |
P100013
|
FINISHED |
| Object | straight |
—
|
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: straight | Statement: [Big Two, fiveCardCombinationType, straight]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: fiveCardCombinationType Context triple: [Big Two, fiveCardCombinationType, straight]
-
A.
typeOfCardinal
Indicates a classification relationship where one entity is a specific kind or subtype of a broader cardinal category represented by the other entity.
-
B.
typeOfAce
Indicates that one entity is classified as a specific type or category of ace (e.g., a particular kind of "ace" within a broader group).
-
C.
cardSetType
chosen
Indicates the classification relationship that specifies what type or category a given card set belongs to.
-
D.
combinationType
Indicates how multiple elements are combined or related to each other within a composite structure or operation.
-
E.
cardPosition
Indicates the specific place or order a card occupies within a sequence, deck, or layout.
- F. None of above.
Provenance (3 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_69d886cef44c8190ba56c44b4e863e64 |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e3dbc559388190b685504cca6ed62b |
completed | April 18, 2026, 7:30 p.m. |
| PD | Predicate disambiguation | batch_69e35d642f74819098c014135e249b27 |
completed | April 18, 2026, 10:31 a.m. |
Created at: April 10, 2026, 5:34 a.m.