Triple
T22969472
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jim White |
E571141
|
entity |
| Predicate | ethnicFocusOfTeam |
P150440
|
FINISHED |
| Object | predominantly Latino runners |
—
|
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: predominantly Latino runners | Statement: [Jim White, ethnicFocusOfTeam, predominantly Latino runners]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: ethnicFocusOfTeam Context triple: [Jim White, ethnicFocusOfTeam, predominantly Latino runners]
-
A.
nationalTeamFor
Indicates that one entity serves as the national team representing another entity, typically a country or nation, in a given sport or activity.
-
B.
nationalTeamSport
Indicates that a particular sport is officially designated as the national team sport of a given country or region.
-
C.
nationalTeamType
Indicates the specific category or level of a national team (e.g., senior, youth, futsal) with which an entity is associated.
-
D.
continentTeam1
Indicates that the first team is associated with or belongs to a particular continent.
-
E.
homeCountryTeamOf
Indicates that one entity is the national team representing the home country of another entity.
- 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_69e245b2c6548190a0e4c7f2f7df2d48 |
completed | April 17, 2026, 2:37 p.m. |
| NER | Named-entity recognition | batch_69f18231459881909dd25a0630c494d8 |
completed | April 29, 2026, 3:59 a.m. |
| PD | Predicate disambiguation | batch_69ef3b9101f48190a06c69dff26c6441 |
completed | April 27, 2026, 10:33 a.m. |
| PDg | Predicate description generation | batch_69ef538a115081908982597f79355840 |
completed | April 27, 2026, 12:16 p.m. |
Created at: April 17, 2026, 3:48 p.m.