Triple

T19208163
Position Surface form Disambiguated ID Type / Status
Subject Pentre E480289 entity
Predicate postTown P2711 FINISHED
Object Pentre NE NERFINISHED

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: Pentre | Statement: [Pentre, postTown, Pentre]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Pentre
Context triple: [Pentre, postTown, Pentre]
  • A. Pentre chosen
    Pentre is a village in the Rhondda Valley of South Wales, historically associated with coal mining and typical terraced housing.
  • B. Pentre
    Pentre is a village in the Deeside area of Flintshire, Wales, forming part of the wider industrial and residential region along the River Dee.
  • C. Pentrepiod
    Pentrepiod is a small intermediate halt on the narrow-gauge Bala Lake Railway in Gwynedd, Wales.
  • D. Pentre-Bont
    Pentre-Bont is a small settlement located in the scenic Lledr Valley in Conwy County Borough, Wales.
  • E. Pentre Ifan
    Pentre Ifan is a well-preserved Neolithic dolmen in Pembrokeshire, Wales, renowned for its striking capstone and status as one of the most iconic megalithic monuments in Britain.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d8e8cb8c348190b52075823911c869 completed April 10, 2026, 12:10 p.m.
NER Named-entity recognition batch_69e5f99e9f8c8190b73db55f3f8bbf20 completed April 20, 2026, 10:02 a.m.
Created at: April 10, 2026, 1:20 p.m.