Triple
T22804095
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lyndhurst Golden Bears |
E564484
|
entity |
| Predicate | hasPrimarySportCategory |
P1080
|
FINISHED |
| Object | boys athletics |
—
|
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: boys athletics | Statement: [Lyndhurst Golden Bears, hasPrimarySportCategory, boys athletics]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasPrimarySportCategory Context triple: [Lyndhurst Golden Bears, hasPrimarySportCategory, boys athletics]
-
A.
hasMajorSport
Indicates that an entity is associated with or participates in a primary or most prominent sport.
-
B.
hasCompetitionCategory
Indicates that an entity is associated with a specific category or division within a competition.
-
C.
primarySport
chosen
Indicates the main sport with which an entity (such as a person, team, or organization) is most closely associated or primarily involved.
-
D.
primarySports
Indicates that a particular sport is the main or most important sport associated with an entity (such as a person, team, or organization).
-
E.
hasSportsStatus
Indicates that an entity holds a particular sports-related status, role, or classification (such as amateur, professional, active, or retired) within a sporting context.
- 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_69e245823f4c8190ade442cdcc2c224a |
completed | April 17, 2026, 2:36 p.m. |
| NER | Named-entity recognition | batch_69f17d5a7c2881909a7aaacddd09f00c |
completed | April 29, 2026, 3:39 a.m. |
| PD | Predicate disambiguation | batch_69eed2cb30f481909566369f515f6eff |
completed | April 27, 2026, 3:06 a.m. |
Created at: April 17, 2026, 3:31 p.m.