Triple
T34721466
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Iraq at the Winter Olympic Games |
E1000926
|
entity |
| Predicate | athleteBase |
P181548
|
FINISHED |
| Object | very small pool of winter sports athletes |
—
|
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: very small pool of winter sports athletes | Statement: [Iraq at the Winter Olympic Games, athleteBase, very small pool of winter sports athletes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: athleteBase Context triple: [Iraq at the Winter Olympic Games, athleteBase, very small pool of winter sports athletes]
-
A.
sportsIdentity
Indicates that an entity’s identity, role, or affiliation is defined in the context of sports (e.g., as an athlete, team, or sports-related organization).
-
B.
athleteRecruitmentFrom
Indicates that an athlete was recruited from a particular source, such as a school, team, or location.
-
C.
typeOfAthlete
Indicates that one entity is an athlete and the other specifies the kind or category of athlete they are.
-
D.
formerAthlete
Indicates that a person previously had the role or status of an athlete but no longer does.
-
E.
isAthlete
Indicates that an entity participates in sports or athletic activities, typically at a competitive or professional level.
- 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_69f76daeb6e48190a4c9a6b0edc80f72 |
completed | May 3, 2026, 3:45 p.m. |
| NER | Named-entity recognition | batch_69f77ffa6b68819090257fed3802c239 |
completed | May 3, 2026, 5:03 p.m. |
| PD | Predicate disambiguation | batch_69f7795978c481909e152cd1bd02dd07 |
completed | May 3, 2026, 4:35 p.m. |
| PDg | Predicate description generation | batch_69f77ff804f08190b431a31e6179ace4 |
completed | May 3, 2026, 5:03 p.m. |
Created at: May 3, 2026, 3:59 p.m.