Triple
T13212694
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | IWGP Heavyweight Champion |
E314532
|
entity |
| Predicate | beltRepresents |
P108536
|
FINISHED |
| Object | top singles wrestler in NJPW |
—
|
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: top singles wrestler in NJPW | Statement: [IWGP Heavyweight Champion, beltRepresents, top singles wrestler in NJPW]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: beltRepresents Context triple: [IWGP Heavyweight Champion, beltRepresents, top singles wrestler in NJPW]
-
A.
beltFeature
Indicates that an entity possesses or is characterized by a specific belt-related attribute or component.
-
B.
beltType
Indicates the specific kind or category of belt associated with an entity.
-
C.
beltDesign
Indicates a relationship where one entity specifies or defines the design, style, or pattern applied to a belt.
-
D.
beltMaterial
Indicates the material from which a belt is made.
-
E.
blueRepresents
Indicates that the color blue is used to symbolize, denote, or stand for a particular concept, state, or category 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_69d806aee7308190b70a237ba2a6e3e1 |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69d98c9f0f148190a0698ef27573c885 |
completed | April 10, 2026, 11:49 p.m. |
| PD | Predicate disambiguation | batch_69d98bc938f081909f123bdf1263ff7f |
completed | April 10, 2026, 11:46 p.m. |
| PDg | Predicate description generation | batch_69d98c959ba08190adf29dc0c4e1fca6 |
completed | April 10, 2026, 11:49 p.m. |
Created at: April 9, 2026, 9:17 p.m.