Triple

T13510550
Position Surface form Disambiguated ID Type / Status
Subject Norman conquest of south-west Wales E321127 entity
Predicate notableSite P2462 FINISHED
Object Haverfordwest E208720 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: Haverfordwest | Statement: [Norman conquest of south-west Wales, notableSite, Haverfordwest]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Haverfordwest
Context triple: [Norman conquest of south-west Wales, notableSite, 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 (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_69d807629d6c8190998f1b9bb12d2ed0 completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69dbaf86a6208190be8c18f7a0158f23 completed April 12, 2026, 2:43 p.m.
NED1 Entity disambiguation (via context triple) batch_69f7c0d759fc81908c327850a4836ecd completed May 3, 2026, 9:40 p.m.
Created at: April 9, 2026, 9:43 p.m.