Triple
T19466789
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Chapelle Notre-Dame-de-la-Salette |
E487020
|
entity |
| Predicate | locatedIn |
P40
|
FINISHED |
| Object | Mont Pipet |
—
|
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: Mont Pipet | Statement: [Chapelle Notre-Dame-de-la-Salette, locatedIn, Mont Pipet]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mont Pipet Context triple: [Chapelle Notre-Dame-de-la-Salette, locatedIn, Mont Pipet]
-
A.
Mont Pipet
chosen
Mont Pipet is a hill overlooking the town of Vienne in southeastern France, known for its panoramic views and historic chapel.
-
B.
Mount Phousi
Mount Phousi is a prominent hill in the center of Luang Prabang, Laos, known for its Buddhist shrines and panoramic views of the city and Mekong River.
-
C.
Mount Viets
Mount Viets is a prominent mountain peak in the Sentinel Range of the Ellsworth Mountains in Western Antarctica.
-
D.
Mont Rigi
Mont Rigi is a high plateau and popular outdoor recreation area in Belgium’s High Fens, known for its hiking, cross-country skiing, and nature conservation.
-
E.
Phou Si Hill
Phou Si Hill is a prominent sacred hill in the center of Luang Prabang, Laos, known for its panoramic views and important Buddhist temples and shrines.
- 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_69d8e8d86d608190bd199a98d0297f27 |
completed | April 10, 2026, 12:11 p.m. |
| NER | Named-entity recognition | batch_69e633e2aee081908330a5665fa60482 |
completed | April 20, 2026, 2:10 p.m. |
Created at: April 10, 2026, 1:39 p.m.