Triple
T12122968
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | GR 10 |
E288738
|
entity |
| Predicate | endPoint |
P390
|
FINISHED |
| Object | Banyuls-sur-Mer |
E288731
|
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: Banyuls-sur-Mer | Statement: [GR 10, endPoint, Banyuls-sur-Mer]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Banyuls-sur-Mer Context triple: [GR 10, endPoint, Banyuls-sur-Mer]
-
A.
Banyuls-sur-Mer
chosen
Banyuls-sur-Mer is a coastal town in southern France near the Spanish border, known for its Mediterranean beaches, terraced vineyards, and sweet Banyuls wine.
-
B.
Saint-Laurent-sur-Mer
Saint-Laurent-sur-Mer is a coastal commune in Normandy, France, historically significant for its location at the heart of the D-Day landings during World War II.
-
C.
Port-Vendres
Port-Vendres is a Mediterranean port town in southern France’s Pyrénées-Orientales department, known for its fishing harbor, coastal scenery, and Catalan-influenced culture.
-
D.
Saint-Briac-sur-Mer
Saint-Briac-sur-Mer is a picturesque coastal commune in Brittany, northwestern France, known for its beaches, sailing, and historic villas.
-
E.
Luc-sur-Mer
Luc-sur-Mer is a coastal commune in northwestern France, situated on the English Channel in the Normandy 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_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_69f63456d8dc8190b788957a37b985ca |
completed | May 2, 2026, 5:28 p.m. |
Created at: April 8, 2026, 9:49 p.m.