Triple
T118256
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tour de France |
E2389
|
entity |
| Predicate | raceFormat |
P2673
|
FINISHED |
| Object | multi-stage race |
—
|
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: multi-stage race | Statement: [Tour de France, raceFormat, multi-stage race]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: raceFormat Context triple: [Tour de France, raceFormat, multi-stage race]
-
A.
competitionFormat
chosen
Indicates the specific structure or ruleset under which a competition is organized and conducted.
-
B.
format
Indicates the specific arrangement, structure, or presentation style in which something is organized or expressed.
-
C.
typeOfCompetition
Indicates the specific kind or category of competition in which an entity participates or is involved.
-
D.
trackType
Indicates the specific kind or category of track associated with an entity, such as its functional or physical classification.
-
E.
competitionStage
Indicates the specific phase or round within a broader competition in which the related entities participate or are situated.
- 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_69a2506c5428819085c28a8884790e29 |
completed | Feb. 28, 2026, 2:18 a.m. |
| NER | Named-entity recognition | batch_69a258e0b11c8190b7b5cf3c354c47ce |
completed | Feb. 28, 2026, 2:54 a.m. |
| PD | Predicate disambiguation | batch_69a25646d5088190a057989c32da3a90 |
completed | Feb. 28, 2026, 2:43 a.m. |
Created at: Feb. 28, 2026, 2:24 a.m.