Triple
T35436756
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Col de la Bonette |
E1024229
|
entity |
| Predicate | climbFromSaintÉtienneDeTinéeLength |
P183785
|
FINISHED |
| Object | about 26 km |
—
|
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: about 26 km | Statement: [Col de la Bonette, climbFromSaintÉtienneDeTinéeLength, about 26 km]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: climbFromSaintÉtienneDeTinéeLength Context triple: [Col de la Bonette, climbFromSaintÉtienneDeTinéeLength, about 26 km]
-
A.
climbLength
Indicates the total distance or vertical extent covered by a climbing route or ascent.
-
B.
distanceToSaint-Étienne
Indicates the measured or specified distance between a given entity and the location Saint-Étienne.
-
C.
lengthOfClimbFromEscot
Indicates the measured length or distance of a climbing route or ascent that starts from Escot.
-
D.
lengthOfEastClimb
Indicates the measured length or distance of the climb on the east side or in the eastward direction.
-
E.
distanceToChambéryKilometersApprox
Indicates an approximate distance, measured in kilometers, between a given entity and the location of Chambéry.
- 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_69f76df743c48190aecb6dd79efb0d95 |
completed | May 3, 2026, 3:47 p.m. |
| NER | Named-entity recognition | batch_69f7a283388c81908e4a9ee3369e8d6f |
completed | May 3, 2026, 7:31 p.m. |
| PD | Predicate disambiguation | batch_69f7a06d4f108190bae3ab9ae431d2c7 |
completed | May 3, 2026, 7:22 p.m. |
| PDg | Predicate description generation | batch_69f7a224365081908ff6958e3b30bd05 |
completed | May 3, 2026, 7:29 p.m. |
Created at: May 3, 2026, 4:04 p.m.