Triple
T11923888
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Alpe d’Huez |
E283731
|
entity |
| Predicate | SarenneLength |
P102170
|
FINISHED |
| Object | approximately 16 kilometres |
—
|
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: approximately 16 kilometres | Statement: [Alpe d’Huez, SarenneLength, approximately 16 kilometres]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: SarenneLength Context triple: [Alpe d’Huez, SarenneLength, approximately 16 kilometres]
-
A.
waterwayLengthKilometres
Indicates the total length of a waterway, measured in kilometres.
-
B.
damLength
Indicates the measured longitudinal extent of a dam from one end to the other.
-
C.
hasShoreLengthOn
Indicates that an entity has a specified length of shoreline along or bordering another geographic feature (such as a body of water or coast).
-
D.
baleenLength
Indicates the length of an organism’s baleen structures, typically measured as a physical dimension.
-
E.
shipLength
Indicates the physical length measurement of a ship.
- 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_69d6ab2ce9c48190b5d39511b524f666 |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d8e8e2fc648190a446c1917db1c7d9 |
completed | April 10, 2026, 12:11 p.m. |
| PD | Predicate disambiguation | batch_69d8bb3af0188190bfb22be5c97b3349 |
completed | April 10, 2026, 8:56 a.m. |
| PDg | Predicate description generation | batch_69d8d399d58c81908dab572aa82426d7 |
completed | April 10, 2026, 10:40 a.m. |
Created at: April 8, 2026, 9:45 p.m.