Triple
T17629569
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | La Grave |
E429938
|
entity |
| Predicate | highestPoint |
P210
|
FINISHED |
| Object | La Meije |
—
|
NE NERFINISHED |
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: La Meije | Statement: [La Grave, highestPoint, La Meije]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: La Meije Context triple: [La Grave, highestPoint, La Meije]
-
A.
La Meije
chosen
La Meije is a prominent and rugged peak in the French Alps, renowned among mountaineers for its dramatic profile and challenging climbing routes.
-
B.
Eyraud
Eyraud is a French surname most notably borne by Eugène Eyraud, a 19th-century missionary known for his work on Easter Island.
-
C.
Mauvezin
Mauvezin is a small commune in southwestern France, located in the Gers department within the Occitanie region.
-
D.
Loffre
Loffre is a small commune in northern France located within the administrative area of the Douai arrondissement in the Nord department.
-
E.
Mauguio
Mauguio is a commune in southern France near Montpellier, known for its proximity to the Mediterranean coast and its role as a local economic and transport hub.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69d889e37f308190a6aa0a69daff86c7 |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e46dbf59dc8190a56aa4a2449b2e2e |
completed | April 19, 2026, 5:53 a.m. |
Created at: April 10, 2026, 5:52 a.m.