Triple
T24564247
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jordan Grand Prix |
E607739
|
entity |
| Predicate | firstWinCircuit |
P156347
|
FINISHED |
| Object | Circuit de Spa-Francorchamps |
—
|
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: Circuit de Spa-Francorchamps | Statement: [Jordan Grand Prix, firstWinCircuit, Circuit de Spa-Francorchamps]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: firstWinCircuit Context triple: [Jordan Grand Prix, firstWinCircuit, Circuit de Spa-Francorchamps]
-
A.
firstWinner
Indicates that the subject is the entity who achieved first place or victory in the referenced event or competition.
-
B.
firstRunningWinner
Indicates that the subject is the first entity to win among those participating in a running event or race.
-
C.
firstWinningWork
Indicates the relationship where a particular work is the first one for which an entity (such as a person or group) received a win, award, or notable victory.
-
D.
primaryCircuit
Indicates that one entity functions as the main or first-stage electrical path or loop in relation to another system or circuit.
-
E.
firstRound
Indicates that the referenced event, match, or interaction occurs in the initial or opening round of a multi-round process or competition.
- 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_69e2c4cc35a48190990b7571bc086df8 |
completed | April 17, 2026, 11:39 p.m. |
| NER | Named-entity recognition | batch_69f2a8f9d0f881909afc04537c32f76b |
completed | April 30, 2026, 12:57 a.m. |
| PD | Predicate disambiguation | batch_69f2a6b99e7c8190ba7e2dc8729a314a |
completed | April 30, 2026, 12:47 a.m. |
| PDg | Predicate description generation | batch_69f2a846c5bc81909ba50cee483bea91 |
completed | April 30, 2026, 12:54 a.m. |
Created at: April 18, 2026, 2:28 a.m.