Triple
T12756838
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jura lakes |
E304881
|
entity |
| Predicate | hasPart |
P35
|
FINISHED |
| Object | Lac de Chanon |
E1038668
|
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: Lac de Chanon | Statement: [Jura lakes, hasPart, Lac de Chanon]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lac de Chanon Context triple: [Jura lakes, hasPart, Lac de Chanon]
-
A.
Lac du Der-Chantecoq
Lac du Der-Chantecoq is one of France’s largest artificial lakes, known for its birdlife, wetlands, and role in flood control and recreation in the Champagne region.
-
B.
Lac de la Ganguise
Lac de la Ganguise is an artificial reservoir in southern France known for sailing, windsurfing, and irrigation use amid the rural landscapes of Occitanie.
-
C.
Lac de Montalbot
Lac de Montalbot is a small recreational lake located in the commune of Vigneux-sur-Seine in northern France.
-
D.
Lac de l’Abbaye
chosen
Lac de l’Abbaye is a scenic glacial lake in France’s Jura region, known for its tranquil setting, surrounding forests, and nearby historic abbey.
-
E.
Lac de Chalain
Lac de Chalain is a large glacial lake in France’s Jura region, renowned for its turquoise waters, surrounding cliffs, and popular swimming and camping areas.
- 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_69d7bdf1fcd081909ffb0e0d6fa3a07d |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d96d8b57b88190b29b8fdca415c81c |
completed | April 10, 2026, 9:37 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f79d3188f88190aafbb1cf97317dc8 |
completed | May 3, 2026, 7:08 p.m. |
Created at: April 9, 2026, 5:27 p.m.