Triple
T14221770
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | canton of Moëlan-sur-Mer |
E352512
|
entity |
| Predicate | containsAdministrativeTerritorialEntity |
P747
|
FINISHED |
| Object |
Nevez
Nevez is a coastal commune in the Finistère department of Brittany in northwestern France, known for its picturesque beaches and traditional stone houses.
|
E1088561
|
NE FINISHED |
How this triple was built (4 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: Nevez | Statement: [canton of Moëlan-sur-Mer, containsAdministrativeTerritorialEntity, Nevez]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Nevez Context triple: [canton of Moëlan-sur-Mer, containsAdministrativeTerritorialEntity, Nevez]
-
A.
Nejd
Nejd is a vast central region of the Arabian Peninsula that historically served as the heartland of the Saudi state and the birthplace of its ruling dynasty.
-
B.
Nez
Nez is a music video director known for directing Bruno Mars' hit video "The Lazy Song."
-
C.
Neka
Neka is a city in northern Iran known for its location near the Caspian Sea and its role as an industrial and agricultural center in Mazandaran Province.
-
D.
Nome
Nome is a remote coastal city in western Alaska known historically for its gold rush heritage and as a key transportation and supply hub on the Bering Sea.
-
E.
Némi
Némi is an Oceanic language spoken by a small indigenous community in New Caledonia.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Nevez Triple: [canton of Moëlan-sur-Mer, containsAdministrativeTerritorialEntity, Nevez]
Generated description
Nevez is a coastal commune in the Finistère department of Brittany in northwestern France, known for its picturesque beaches and traditional stone houses.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Nevez Target entity description: Nevez is a coastal commune in the Finistère department of Brittany in northwestern France, known for its picturesque beaches and traditional stone houses.
-
A.
Nejd
Nejd is a vast central region of the Arabian Peninsula that historically served as the heartland of the Saudi state and the birthplace of its ruling dynasty.
-
B.
Nez
Nez is a music video director known for directing Bruno Mars' hit video "The Lazy Song."
-
C.
Neka
Neka is a city in northern Iran known for its location near the Caspian Sea and its role as an industrial and agricultural center in Mazandaran Province.
-
D.
Nome
Nome is a remote coastal city in western Alaska known historically for its gold rush heritage and as a key transportation and supply hub on the Bering Sea.
-
E.
Némi
Némi is an Oceanic language spoken by a small indigenous community in New Caledonia.
- F. None of above. chosen
Provenance (5 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_69d8278a06e481908b5d6af0a8afe737 |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de6213801c8190a47705cd890b9ae7 |
completed | April 14, 2026, 3:49 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fd2813e55881909bdbc6f3c6ef572b |
completed | May 8, 2026, 12:02 a.m. |
| NEDg | Description generation | batch_69fd2b0956948190bf654403ad0b154a |
completed | May 8, 2026, 12:15 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69fd2df66aa48190ae18a4ca1c099c25 |
completed | May 8, 2026, 12:27 a.m. |
Created at: April 10, 2026, 1:06 a.m.