Triple
T7183698
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Leucate |
E167515
|
entity |
| Predicate | hasLandmark |
P105
|
FINISHED |
| Object | Cap Leucate |
E167515
|
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: Cap Leucate | Statement: [Leucate, hasLandmark, Cap Leucate]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Cap Leucate Context triple: [Leucate, hasLandmark, Cap Leucate]
-
A.
Leucate
chosen
Leucate is a coastal commune in southern France known for its Mediterranean beaches, wind sports, and scenic limestone cliffs.
-
B.
Cap d’Agde
Cap d’Agde is a Mediterranean seaside resort town in southern France, famous for its extensive beaches and large naturist village.
-
C.
La Grande-Motte
La Grande-Motte is a seaside resort town on France’s Mediterranean coast, noted for its distinctive modernist pyramid-shaped architecture and beaches.
-
D.
Camprodon
Camprodon is a small town in the Catalan Pyrenees of northeastern Spain, known for its scenic mountain setting and historic Romanesque architecture.
-
E.
Draguignan
Draguignan is a town in southeastern France’s Var department, known as a former prefecture and gateway to the Provence 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_69c6888a7c548190a3d39b52a393080f |
completed | March 27, 2026, 1:39 p.m. |
| NER | Named-entity recognition | batch_69c6e8de114c8190ad8fde0654526482 |
completed | March 27, 2026, 8:30 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c7b94b058481909da9d5b21a5201de |
completed | March 28, 2026, 11:19 a.m. |
Created at: March 27, 2026, 2:49 p.m.