Triple
T25407341
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Italy national athletics team |
E636594
|
entity |
| Predicate | usesCodeInAthletics |
P163005
|
FINISHED |
| Object | ITA |
—
|
NE NERFINISHED |
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: ITA | Statement: [Italy national athletics team, usesCodeInAthletics, ITA]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: usesCodeInAthletics Context triple: [Italy national athletics team, usesCodeInAthletics, ITA]
-
A.
hasAthletics
Indicates that an entity participates in, is associated with, or offers athletics-related activities or programs.
-
B.
usedInSport
Indicates that something (such as an object, technique, or concept) is employed or utilized within the context of a particular sport.
-
C.
isAthletic
Indicates that an entity possesses physical fitness, strength, agility, or endurance characteristic of athletic ability.
-
D.
isAthlete
Indicates that an entity participates in sports or athletic activities, typically at a competitive or professional level.
-
E.
usedSportFor
Indicates that an entity employs or utilizes a particular sport as a means, tool, or context for achieving some purpose or performing an activity.
- 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_69e75db361d881908d8701c856da6413 |
completed | April 21, 2026, 11:21 a.m. |
| NER | Named-entity recognition | batch_69f63639a84c81909d700a539b458b42 |
completed | May 2, 2026, 5:36 p.m. |
| PD | Predicate disambiguation | batch_69f63182f1408190bddc1214fcbd6145 |
completed | May 2, 2026, 5:16 p.m. |
| PDg | Predicate description generation | batch_69f6352df6148190bc10772cd40bd7b3 |
completed | May 2, 2026, 5:32 p.m. |
Created at: April 21, 2026, 1:52 p.m.