Triple

T18467043
Position Surface form Disambiguated ID Type / Status
Subject Bynea E451191 entity
Predicate hasPostTown P2711 FINISHED
Object LLANELLI E17782 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: LLANELLI | Statement: [Bynea, hasPostTown, LLANELLI]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: LLANELLI
Context triple: [Bynea, hasPostTown, LLANELLI]
  • A. Llanelli chosen
    Llanelli is a coastal industrial town in Carmarthenshire, South Wales, historically known for its tinplate industry and strong rugby union tradition.
  • B. Penryn
    Penryn is a historic town and former parliamentary borough in Cornwall, England.
  • C. Llandeilo
    Llandeilo is a historic market town in west Wales known for its picturesque setting above the River Towy and its proximity to ancient sites and country estates.
  • D. Newlyn
    Newlyn is a historic Cornish fishing village and harbour on the coast of southwest England, renowned for its art colony and maritime heritage.
  • E. Haverfordwest
    Haverfordwest is a historic market town in southwest Wales that serves as the principal commercial and administrative centre of Pembrokeshire.
  • 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_69d8d38465a0819099b9b42d2a662ac1 completed April 10, 2026, 10:40 a.m.
NER Named-entity recognition batch_69e52a8459f88190a54cae4c8cb05119 completed April 19, 2026, 7:18 p.m.
NED1 Entity disambiguation (via context triple) batch_6a043f24ff448190b1b54ff5209a7b01 completed May 13, 2026, 9:06 a.m.
Created at: April 10, 2026, 11:34 a.m.