Triple
T15473324
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Big Ten wrestling |
E376718
|
entity |
| Predicate | includesSportType |
P15165
|
FINISHED |
| Object | folkstyle wrestling |
—
|
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: folkstyle wrestling | Statement: [Big Ten wrestling, includesSportType, folkstyle wrestling]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: includesSportType Context triple: [Big Ten wrestling, includesSportType, folkstyle wrestling]
-
A.
includesSport
chosen
Indicates that one entity contains, offers, or features a particular sport as part of its activities, content, or composition.
-
B.
sportEventType
Indicates the specific kind or category of sport associated with a given sporting event.
-
C.
appliesToSports
Indicates that something is relevant, appropriate, or specifically intended for use in the context of sports.
-
D.
numberOfSports
Indicates the quantity of distinct sports associated with or involved in a given entity.
-
E.
sportTypeGoverned
Indicates that a governing body or organization has regulatory authority over a particular type of sport.
- 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_69d85cd21dcc81908646251b1c26ea00 |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69e03f6c57308190b4cfe661c26addd4 |
completed | April 16, 2026, 1:46 a.m. |
| PD | Predicate disambiguation | batch_69ded284bd008190b31c53b4f1cebadd |
completed | April 14, 2026, 11:49 p.m. |
Created at: April 10, 2026, 3:33 a.m.