Triple
T11574839
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Barre des Écrins |
E274475
|
entity |
| Predicate | nearestTown |
P350
|
FINISHED |
| Object | La Bérarde |
E238237
|
NE 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: La Bérarde | Statement: [Barre des Écrins, nearestTown, La Bérarde]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: La Bérarde Context triple: [Barre des Écrins, nearestTown, La Bérarde]
-
A.
La Bérarde
chosen
La Bérarde is a small alpine hamlet in the French Alps, known as a base for mountaineering and hiking in the Écrins massif.
-
B.
La Bessiere
La Bessiere is a key character in the 1930 romantic drama film "Morocco," involved in the central love triangle alongside the leads.
-
C.
Le Barcarès
Le Barcarès is a coastal commune in southern France on the Mediterranean Sea, known for its beaches, marina, and tourism.
-
D.
La Basoche
La Basoche is an opéra-comique by André Messager, first performed in 1890 and known for its lively score and humorous depiction of medieval Parisian law clerks.
-
E.
La Sablonière
La Sablonière is one of the small islets within the Les Écréhous reef and island group off the coast of Jersey in the Channel Islands.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69d6aae5ac3c81908d2b0a3a665665b2 |
completed | April 8, 2026, 7:22 p.m. |
| NER | Named-entity recognition | batch_69d89048120c81908258f984711f7dd4 |
completed | April 10, 2026, 5:53 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e713e49f508190b9bad316d68eab42 |
completed | April 21, 2026, 6:06 a.m. |
Created at: April 8, 2026, 9:38 p.m.