Triple
T13679841
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Étang de Thau |
E327969
|
entity |
| Predicate | nearbyTown |
P3883
|
FINISHED |
| Object | Balaruc-les-Bains |
E1072300
|
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: Balaruc-les-Bains | Statement: [Étang de Thau, nearbyTown, Balaruc-les-Bains]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Balaruc-les-Bains Context triple: [Étang de Thau, nearbyTown, Balaruc-les-Bains]
-
A.
Balaruc-les-Bains
chosen
Balaruc-les-Bains is a French spa town on the Mediterranean coast renowned for its thermal baths and proximity to the Étang de Thau lagoon.
-
B.
Brides-les-Bains
Brides-les-Bains is a spa and ski resort village in the Savoie department of southeastern France, known for its thermal baths and proximity to the Three Valleys ski area.
-
C.
Valras-Plage
Valras-Plage is a seaside resort town on France’s Mediterranean coast, known for its sandy beaches and tourism.
-
D.
Le Beausset
Le Beausset is a small commune in the Var department of southeastern France, near Toulon in the Provence-Alpes-Côte d'Azur region.
-
E.
Berre-l’Étang
Berre-l’Étang is a commune in southern France’s Bouches-du-Rhône department, situated on the shores of the Étang de Berre and known for its industrial facilities and proximity to Marseille.
- 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_69d8076f1fa8819094664a59b55010df |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69dbc66cbb088190907cb89dda8e4ebd |
completed | April 12, 2026, 4:21 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fbac7c8bbc81908c7aa15c6892be34 |
completed | May 6, 2026, 9:02 p.m. |
Created at: April 9, 2026, 9:53 p.m.