Triple
T12122778
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | GR10 |
E288734
|
entity |
| Predicate | westernTerminus |
P388
|
FINISHED |
| Object | Hendaye |
E297314
|
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: Hendaye | Statement: [GR10, westernTerminus, Hendaye]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Hendaye Context triple: [GR10, westernTerminus, Hendaye]
-
A.
Hendaye
chosen
Hendaye is a coastal town in southwestern France on the Atlantic near the Spanish border, known as a gateway to the Basque Country and the Pyrenees.
-
B.
Saint-Jean-de-Luz
Saint-Jean-de-Luz is a historic fishing port and seaside resort town on France’s Basque coast, known for its picturesque bay and well-preserved old town.
-
C.
Pau
Pau is the Catalan given name of the renowned cellist and conductor Pablo Casals.
-
D.
Pau
Pau is a historic city in southwestern France, known as the capital of the Pyrénées-Atlantiques department and for its scenic location near the Pyrenees mountains.
-
E.
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.
- 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_69d6ab4b5e4c81909950b17151eb0951 |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d91578fd88819099adf55c93d549fc |
completed | April 10, 2026, 3:21 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f60a77e3588190bf84b3c3aa311641 |
completed | May 2, 2026, 2:30 p.m. |
Created at: April 8, 2026, 9:49 p.m.