Triple
T34218902
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gran Premio República Argentina |
E877870
|
entity |
| Predicate | typicalRaceCategory |
P205369
|
FINISHED |
| Object | open company |
—
|
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: open company | Statement: [Gran Premio República Argentina, typicalRaceCategory, open company]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: typicalRaceCategory Context triple: [Gran Premio República Argentina, typicalRaceCategory, open company]
-
A.
typicalRaceLengthCategory
Indicates the usual distance range or length classification that a race is most commonly run at.
-
B.
raceCategory
Indicates the classification of an entity into a specific race or racial group within a defined categorization system.
-
C.
raceTypeBySex
Indicates that a race or competition is categorized or defined based on the sex of its participants.
-
D.
raceTypeByAge
Indicates that the type or category of a race is determined or classified based on the ages of its participants.
-
E.
stageRaceType
Indicates the specific category or format of a multi-stage race within a broader competition or event.
- 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_6a037c92f03c8190ae2751270b195423 |
completed | May 12, 2026, 7:16 p.m. |
| PD | Predicate disambiguation | batch_6a0379f963908190846d232f386fd98f |
completed | May 12, 2026, 7:05 p.m. |
| PDg | Predicate description generation | batch_6a037c80ba448190853011097a151b7e |
completed | May 12, 2026, 7:16 p.m. |
Created at: May 1, 2026, 1:55 a.m.