Triple

T17115114
Position Surface form Disambiguated ID Type / Status
Subject Gwen John E415318 entity
Predicate placeOfBirth P1 FINISHED
Object Haverfordwest 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: Haverfordwest | Statement: [Gwen John, placeOfBirth, Haverfordwest]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Haverfordwest
Context triple: [Gwen John, placeOfBirth, Haverfordwest]
  • A. Haverfordwest chosen
    Haverfordwest is a historic market town in southwest Wales that serves as the principal commercial and administrative centre of Pembrokeshire.
  • B. Amlwch
    Amlwch is a small coastal town in northern Anglesey, Wales, historically known for its copper mining and maritime heritage.
  • C. Carmarthen
    Carmarthen is a historic market town in southwest Wales, often regarded as one of the oldest towns in the country and traditionally linked with the legends of Merlin.
  • D. Penryn
    Penryn is a historic town and former parliamentary borough in Cornwall, England.
  • E. Pwllheli
    Pwllheli is a coastal market town and popular seaside resort on the Llŷn Peninsula in Gwynedd, northwest Wales.
  • 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_69d886d090cc8190a39cb94992586905 completed April 10, 2026, 5:12 a.m.
NER Named-entity recognition batch_69e3e80528588190a877dcc6d6d3a392 completed April 18, 2026, 8:22 p.m.
Created at: April 10, 2026, 5:35 a.m.