Triple
T13026586
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lacanau |
E326322
|
entity |
| Predicate | hasBodyOfWater |
P1778
|
FINISHED |
| Object | Lac de Lacanau |
E1063037
|
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 Lacanau | Statement: [Lacanau, hasBodyOfWater, Lac de Lacanau]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lac de Lacanau Context triple: [Lacanau, hasBodyOfWater, Lac de Lacanau]
-
A.
Lac de Lacanau
chosen
Lac de Lacanau is a large freshwater lake in southwestern France known for its beaches, water sports, and surrounding pine forests.
-
B.
Lac de l’Oule
Lac de l’Oule is a mountain reservoir in the Néouvielle massif of the French Pyrenees, known for its scenic alpine setting and hiking access.
-
C.
Lac de Castillon
Lac de Castillon is an artificial lake in southeastern France, created by a dam on the Verdon River and known for its turquoise waters and surrounding Alpine scenery.
-
D.
Lac de Pareloup
Lac de Pareloup is a large artificial reservoir in southern France renowned for water sports, fishing, and lakeside tourism.
-
E.
Lac de Péligre
Lac de Péligre is a large artificial reservoir in central Haiti, created by the Péligre Dam on the Artibonite River and serving as a major source of hydroelectric power and irrigation for the region.
- 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_69d8076cc45c81908123123f43e69266 |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69d97efc07488190a15f3e41ea2db45c |
completed | April 10, 2026, 10:51 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f7c0d12cd88190b6e205ad98296ed9 |
completed | May 3, 2026, 9:40 p.m. |
Created at: April 9, 2026, 8:53 p.m.