Triple
T698589
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Giro d'Italia |
E13947
|
entity |
| Predicate | raceType |
P2440
|
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: [Giro d'Italia, raceType, multi-stage race]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: raceType Context triple: [Giro d'Italia, raceType, multi-stage race]
-
A.
hasRacecourse
Indicates that an entity possesses, contains, or is associated with a racecourse facility or track.
-
B.
trackType
Indicates the specific kind or category of track associated with an entity, such as its functional or physical classification.
-
C.
typeOfCompetition
chosen
Indicates the specific kind or category of competition in which an entity participates or is involved.
-
D.
notableRacingVariant
Indicates that one entity is a particularly recognized or distinguished racing-specific version or trim of another entity.
-
E.
speedClass
Indicates the categorical speed level or range assigned to an entity based on how fast it moves or operates.
- 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_69a493406c408190957eeec9048a8fb6 |
completed | March 1, 2026, 7:28 p.m. |
| NER | Named-entity recognition | batch_69a4a0c99be48190babc37c397b6a186 |
completed | March 1, 2026, 8:25 p.m. |
| PD | Predicate disambiguation | batch_69a49d2586b081908e052cc5ba1d2685 |
completed | March 1, 2026, 8:10 p.m. |
Created at: March 1, 2026, 7:36 p.m.