Triple
T7682441
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bideford |
E174028
|
entity |
| Predicate | hasTwinning |
P919
|
FINISHED |
| Object | Landivisiau |
E252345
|
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: Landivisiau | Statement: [Bideford, hasTwinning, Landivisiau]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Landivisiau Context triple: [Bideford, hasTwinning, Landivisiau]
-
A.
Douarnenez
Douarnenez is a coastal town in Brittany, France, known for its historic sardine fishing industry and picturesque harbor.
-
B.
Fouesnant
Fouesnant is a coastal commune in Brittany, northwestern France, known for its beaches, seaside tourism, and proximity to the Glénan archipelago.
-
C.
Trégor
Trégor is a historic region in northwestern Brittany, France, known for its distinct Breton cultural heritage, coastal landscapes, and traditional Breton language variety.
-
D.
BAN Landivisiau
chosen
BAN Landivisiau is a major French naval air base in Brittany that serves as the principal home of the French Navy’s carrier-based fighter aircraft.
-
E.
Ploërmel
Ploërmel is a historic town in Brittany, northwestern France, known for its medieval heritage and role as an administrative center in the Morbihan department.
- 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_69c6995840408190a19de6c51090f46f |
completed | March 27, 2026, 2:51 p.m. |
| NER | Named-entity recognition | batch_69c7021ce1308190be58d17ebaafa6ae |
completed | March 27, 2026, 10:18 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c8a25304b88190920c2e4908925ce2 |
completed | March 29, 2026, 3:53 a.m. |
Created at: March 27, 2026, 4:01 p.m.