Triple
T13550831
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bauges Mountains |
E323638
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object | Trélod |
E850041
|
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: Trélod | Statement: [Bauges Mountains, contains, Trélod]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Trélod Context triple: [Bauges Mountains, contains, Trélod]
-
A.
Trélod
chosen
Trélod is a prominent mountain peak in the French Alps, known for its panoramic views over the Massif des Bauges and surrounding Savoyard landscapes.
-
B.
Trebel
Trebel is a small municipality in Lower Saxony, Germany, that forms part of the collective municipality (Samtgemeinde) Elbtalaue.
-
C.
Trogneux
Trogneux is a French surname notably borne by Brigitte Macron, the First Lady of France.
-
D.
Thérain
Thérain is a river in northern France that flows through the Oise department before joining the Oise River.
-
E.
Yzeron
Yzeron is a small river in eastern France that flows through the Lyon metropolitan area, including the commune of Oullins.
- 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_69d8076776248190bdf0d4fa1f85a5fc |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69dbaff0a6548190b8cde5084cef0061 |
completed | April 12, 2026, 2:45 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f75da4e19c819090d649b60a2dd410 |
completed | May 3, 2026, 2:37 p.m. |
Created at: April 9, 2026, 9:46 p.m.