Triple
T37339276
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Col d’Izoard |
E926985
|
entity |
| Predicate | hasTourDeFranceRole |
P50999
|
FINISHED |
| Object | regular climb in the Tour de France |
—
|
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: regular climb in the Tour de France | Statement: [Col d’Izoard, hasTourDeFranceRole, regular climb in the Tour de France]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasTourDeFranceRole Context triple: [Col d’Izoard, hasTourDeFranceRole, regular climb in the Tour de France]
-
A.
roleInTourDeFrance
chosen
Indicates the specific capacity or function an entity has within the context of the Tour de France (e.g., rider, team, official, or support role).
-
B.
lastTourDeFranceParticipation
Indicates the most recent instance in which an entity took part in the Tour de France.
-
C.
hasTourDeFranceRecord
Indicates that an entity holds or has held a record related to the Tour de France, such as a performance, achievement, or statistical best.
-
D.
hasTouringRole
Indicates that an entity holds or performs a specific role or function within a touring context, such as a traveling production, show, or event.
-
E.
tourDeFranceCategory
Indicates that an entity is classified into a specific category or classification related to the Tour de France.
- 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_69f76eb4e8a881908bd40da28f36fc7e |
completed | May 3, 2026, 3:50 p.m. |
| NER | Named-entity recognition | batch_69fd82ed2a4c81908bd7797fbd2e3d08 |
completed | May 8, 2026, 6:30 a.m. |
| PD | Predicate disambiguation | batch_69fd814cc10481908e4f8123d35a5d0c |
completed | May 8, 2026, 6:23 a.m. |
Created at: May 3, 2026, 4:16 p.m.