Triple

T13436842
Position Surface form Disambiguated ID Type / Status
Subject Lannion E320250 entity
Predicate traditionalProvince P40772 FINISHED
Object Trégor E635137 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: Trégor | Statement: [Lannion, traditionalProvince, Trégor]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Trégor
Context triple: [Lannion, traditionalProvince, Trégor]
  • A. Trégor chosen
    Trégor is a historic region in northwestern Brittany, France, known for its distinct Breton cultural heritage, coastal landscapes, and traditional Breton language variety.
  • B. Penygroes
    Penygroes is a village in Gwynedd, Wales, historically associated with the slate quarrying industry and serving as a local community hub near Caernarfon.
  • C. Crymych
    Crymych is a rural village in Pembrokeshire, Wales, situated in the Preseli Hills and serving as a local centre for the surrounding farming communities.
  • D. Tremadog
    Tremadog is a village in Gwynedd, north-west Wales, known as the birthplace of T. E. Lawrence and for its early 19th-century planned layout.
  • E. Tywyn
    Tywyn is a coastal town in Gwynedd, Wales, known for its sandy beaches on Cardigan Bay and proximity to the scenic Talyllyn Railway.
  • 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_69d80761e6cc8190a90c844589998ecc completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69dbaee42a8c8190a85716b4a6db335e completed April 12, 2026, 2:40 p.m.
NED1 Entity disambiguation (via context triple) batch_69ff7559f0448190a992f0770ac8227a completed May 9, 2026, 5:56 p.m.
Created at: April 9, 2026, 9:40 p.m.