Triple
T19921113
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Stag Hunt |
E478795
|
entity |
| Predicate | hasCanonicalPayoffOrdering |
P127490
|
FINISHED |
| Object | R > T ≥ P > S |
—
|
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: R > T ≥ P > S | Statement: [Stag Hunt, hasCanonicalPayoffOrdering, R > T ≥ P > S]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasCanonicalPayoffOrdering Context triple: [Stag Hunt, hasCanonicalPayoffOrdering, R > T ≥ P > S]
-
A.
hasCanonicalPenalty
Indicates that an entity is subject to an officially established or authoritative penalty defined by a governing canon or rule system.
-
B.
isOrderOf
Indicates that one entity specifies the sequence, arrangement, or ranking in which elements of another entity are organized or occur.
-
C.
hasElementOrdersUpTo
Indicates that one entity includes or supports elements whose orders (e.g., magnitudes, degrees, or hierarchical levels) do not exceed a specified upper limit defined by the other entity.
-
D.
hasOrderingMethod
Indicates that there is a specific method or procedure used to place or arrange an order for something.
-
E.
hasOrderStructure
chosen
Indicates that there is a defined ordering relation imposed on the elements of a set or collection, specifying how they are arranged or compared in terms of order.
- 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_69d8e521855c8190b41871700afc8d6a |
completed | April 10, 2026, 11:55 a.m. |
| NER | Named-entity recognition | batch_69e659c564788190a3893fc73fc4922b |
completed | April 20, 2026, 4:52 p.m. |
| PD | Predicate disambiguation | batch_69e537f070b481908958e0e5911dcdc1 |
completed | April 19, 2026, 8:15 p.m. |
Created at: April 10, 2026, 1:53 p.m.