Triple
T36217649
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Col d’Aubisque |
E1047742
|
entity |
| Predicate | lengthOfClimbFromArgelèsGazostViaSoulor |
P185059
|
FINISHED |
| Object | 30 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: 30 km | Statement: [Col d’Aubisque, lengthOfClimbFromArgelèsGazostViaSoulor, 30 km]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: lengthOfClimbFromArgelèsGazostViaSoulor Context triple: [Col d’Aubisque, lengthOfClimbFromArgelèsGazostViaSoulor, 30 km]
-
A.
climbFromSaintÉtienneDeTinéeLength
Indicates the length or distance of a climb that starts from Saint-Étienne-de-Tinée.
-
B.
distanceToPyrenees
Indicates the spatial distance between a given location or entity and the Pyrenees.
-
C.
climbLength
Indicates the total distance or vertical extent covered by a climbing route or ascent.
-
D.
durationTypicalAscent
Indicates the typical amount of time required to complete an ascent.
-
E.
glacialRoute
Indicates a path or course shaped, carved, or followed by a glacier as it moves across a landscape.
- 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_69f76e42c878819095c8d19c0267fb87 |
completed | May 3, 2026, 3:48 p.m. |
| NER | Named-entity recognition | batch_69f7bb1d6b70819091227bd011734d19 |
completed | May 3, 2026, 9:16 p.m. |
| PD | Predicate disambiguation | batch_69f7b9a4aad48190a62e41c5e39339d9 |
completed | May 3, 2026, 9:09 p.m. |
| PDg | Predicate description generation | batch_69f7ba6c27e081908868a2b50d1d603c |
completed | May 3, 2026, 9:13 p.m. |
Created at: May 3, 2026, 4:09 p.m.