Triple
T15670358
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | arrondissement of Saint-Brieuc |
E377292
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object | Paimpol |
E623165
|
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: Paimpol | Statement: [arrondissement of Saint-Brieuc, contains, Paimpol]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Paimpol Context triple: [arrondissement of Saint-Brieuc, contains, Paimpol]
-
A.
Paimpol
chosen
Paimpol is a coastal town in Brittany, northwestern France, known for its maritime heritage, fishing port, and role as a gateway to nearby islands and archipelagos.
-
B.
Tambolaka
Tambolaka is a town on the Indonesian island of Sumba that serves as an important local hub with an airport and access point for exploring the island.
-
C.
Korlai
Korlai is a coastal village in Maharashtra, India, known for its historic Portuguese-built Korlai Fort and a unique Indo-Portuguese Creole-speaking community.
-
D.
Ouanalao
Ouanalao is the indigenous Arawak name historically used for the Caribbean island of Saint Barthélemy.
-
E.
Bompoka
Bompoka is a small, remote island that forms part of India’s Nicobar Islands archipelago in the eastern Indian Ocean.
- 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_69d85cd2e28481909d4e975bee20872f |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69e04f1254508190a77a16b7bfd299ad |
completed | April 16, 2026, 2:53 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff67a431208190b7e0d1eefd55504a |
completed | May 9, 2026, 4:58 p.m. |
Created at: April 10, 2026, 4:16 a.m.