Triple
T34218900
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gran Premio República Argentina |
E877870
|
entity |
| Predicate | countryOfHorseRacingAuthority |
P203195
|
FINISHED |
| Object | Jockey Club Argentino |
—
|
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: Jockey Club Argentino | Statement: [Gran Premio República Argentina, countryOfHorseRacingAuthority, Jockey Club Argentino]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: countryOfHorseRacingAuthority Context triple: [Gran Premio República Argentina, countryOfHorseRacingAuthority, Jockey Club Argentino]
-
A.
countryOfRacing
Indicates the country in which a racing event, activity, or affiliation takes place or is officially registered.
-
B.
nationalityAsRacehorse
Indicates the country or region with which a racehorse is officially associated or registered for racing purposes.
-
C.
countryOfGoverningCompetition
Indicates the country that has authority over or organizes the referenced competition.
-
D.
racecourseRegion
Indicates that a racecourse is located within, or associated with, a particular geographic or administrative region.
-
E.
sportGoverningBodyCountry
Indicates that a sports governing body is officially associated with or represents a particular country.
- 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_69f349b0b4bc819088c1552424089ee9 |
completed | April 30, 2026, 12:23 p.m. |
| NER | Named-entity recognition | batch_6a01378bf05c8190af9f5e06a2810c7d |
completed | May 11, 2026, 1:57 a.m. |
| PD | Predicate disambiguation | batch_6a0137277c6c8190bcec341f2a0757c4 |
completed | May 11, 2026, 1:55 a.m. |
| PDg | Predicate description generation | batch_6a01378b165c8190b7b738da4e1ab36b |
completed | May 11, 2026, 1:57 a.m. |
Created at: May 1, 2026, 1:55 a.m.