Triple

T8185426
Position Surface form Disambiguated ID Type / Status
Subject Jasper Tudor E191169 entity
Predicate heldLandIn P32271 FINISHED
Object Pembrokeshire E22714 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: Pembrokeshire | Statement: [Jasper Tudor, heldLandIn, Pembrokeshire]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Pembrokeshire
Context triple: [Jasper Tudor, heldLandIn, Pembrokeshire]
  • A. Pembrokeshire chosen
    Pembrokeshire is a coastal county in southwest Wales renowned for its rugged cliffs, sandy beaches, and the Pembrokeshire Coast National Park.
  • B. Ceredigion
    Ceredigion is a coastal county in west Wales known for its rugged Cardigan Bay shoreline, rural landscapes, and Welsh-speaking communities.
  • C. Carmarthenshire
    Carmarthenshire is a largely rural county in southwest Wales known for its market towns, rich agricultural land, and scenic landscapes stretching from the Tywi Valley to the Carmarthen Bay coast.
  • D. Montgomeryshire
    Montgomeryshire is a historic county and former parliamentary constituency in mid-Wales, known for its rural landscape and market towns such as Newtown and Welshpool.
  • E. Monmouthshire
    Monmouthshire is a historic county and principal area in southeast Wales, known for its rural landscapes, market towns, and rich medieval heritage.
  • 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_69ca82c4538081909404325aa5639483 completed March 30, 2026, 2:03 p.m.
NER Named-entity recognition batch_69cb7266bc148190984060b7b95effb5 completed March 31, 2026, 7:06 a.m.
NED1 Entity disambiguation (via context triple) batch_69cecc1842608190bc0fd78e28aa324d completed April 2, 2026, 8:05 p.m.
Created at: March 30, 2026, 5:41 p.m.