Triple
T6554556
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Prades |
E152411
|
entity |
| Predicate | near |
P350
|
FINISHED |
| Object | Canigou massif |
E112841
|
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: Canigou massif | Statement: [Prades, near, Canigou massif]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Canigou massif Context triple: [Prades, near, Canigou massif]
-
A.
Canigou
chosen
Canigou is a prominent peak in the eastern Pyrenees of southern France, renowned as a cultural and symbolic landmark of Catalan and Occitan regions.
-
B.
Mont Mézenc
Mont Mézenc is a prominent volcanic peak in the Massif Central of France, known as one of the highest points in the region and a popular destination for hiking and panoramic views.
-
C.
Massif du Sancy
Massif du Sancy is a volcanic mountain range in central France known for its highest peak in the Massif Central and popular hiking and winter sports areas.
-
D.
Espinouse massif
The Espinouse massif is a mountainous area in southern France known for its rugged landscapes, forests, and outdoor recreation within the Haut-Languedoc region.
-
E.
Échenevex
Échenevex is a small French commune in the Ain department of eastern France, near the Swiss border and the city of Geneva.
- 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_69c688058d6881908c19b309cc55dbfa |
completed | March 27, 2026, 1:37 p.m. |
| NER | Named-entity recognition | batch_69c6ae1c07cc819089c297edad943a57 |
completed | March 27, 2026, 4:19 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c6d55707d081908104f08e1d59d603 |
completed | March 27, 2026, 7:07 p.m. |
Created at: March 27, 2026, 1:51 p.m.