Triple
T19114363
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Distinguished Pistol Shot Badge |
E467868
|
entity |
| Predicate | competitionDiscipline |
P45640
|
FINISHED |
| Object | pistol |
—
|
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: pistol | Statement: [Distinguished Pistol Shot Badge, competitionDiscipline, pistol]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: competitionDiscipline Context triple: [Distinguished Pistol Shot Badge, competitionDiscipline, pistol]
-
A.
competitiveDiscipline
chosen
Indicates a relationship where an entity participates in or is associated with a structured, rule-based activity or field in which individuals or groups compete against each other.
-
B.
competitionClass
Indicates that one entity is classified into a particular competitive category or level within a competition or contest.
-
C.
competitionOf
Indicates a relationship where one entity is the competitive event, contest, or rivalry involving another entity.
-
D.
esportDiscipline
Indicates that one entity is a specific esports game or discipline in which the other entity participates or is involved.
-
E.
competedInDiscipline
Indicates that an entity took part in a competition or event within a specific discipline or category.
- 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_69d8dd06a26481908039e2a1bae8c597 |
completed | April 10, 2026, 11:20 a.m. |
| NER | Named-entity recognition | batch_69e5e39617408190b5134918f54f9c52 |
completed | April 20, 2026, 8:28 a.m. |
| PD | Predicate disambiguation | batch_69e4b9b085288190b974d649e12e0844 |
completed | April 19, 2026, 11:17 a.m. |
Created at: April 10, 2026, 12:05 p.m.