Triple
T14482588
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Alto de Jaizkibel |
E359146
|
entity |
| Predicate | hasCategoryInCyclingRaces |
P53839
|
FINISHED |
| Object | first-category climb in some editions |
—
|
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: first-category climb in some editions | Statement: [Alto de Jaizkibel, hasCategoryInCyclingRaces, first-category climb in some editions]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasCategoryInCyclingRaces Context triple: [Alto de Jaizkibel, hasCategoryInCyclingRaces, first-category climb in some editions]
-
A.
cyclingCategory
Indicates the classification or type of cycling activity or discipline associated with an entity.
-
B.
hasCompetitionCategory
chosen
Indicates that an entity is associated with a specific category or division within a competition.
-
C.
hasRacingDiscipline
Indicates that an entity participates in, is associated with, or is characterized by a specific type or category of racing discipline.
-
D.
hasCategoryOn
Indicates that something is assigned to or associated with a specific category within a given context or scope.
-
E.
raceCategory
Indicates the classification of an entity into a specific race or racial group within a defined categorization system.
- 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_69d827966698819082e140837737501d |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de924bc548819087a2f693840d7426 |
completed | April 14, 2026, 7:15 p.m. |
| PD | Predicate disambiguation | batch_69de5c487b4c819097803e58dca628a5 |
completed | April 14, 2026, 3:24 p.m. |
Created at: April 10, 2026, 1:20 a.m.