Triple

T2648258
Position Surface form Disambiguated ID Type / Status
Subject Cumberland E53833 entity
Predicate containsSettlement P847 FINISHED
Object Wigton E268211 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: Wigton | Statement: [Cumberland, containsSettlement, Wigton]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Wigton
Context triple: [Cumberland, containsSettlement, Wigton]
  • A. Wigton chosen
    Wigton is a small market town in Cumbria, England, serving as a local commercial and service hub for surrounding rural communities.
  • B. Kirriemuir
    Kirriemuir is a small historic town in eastern Scotland, best known as the birthplace of Peter Pan author J. M. Barrie.
  • C. Huntly
    Huntly is a historic town in Aberdeenshire, Scotland, long associated with the Gordon family and the Marquess of Huntly.
  • D. Galashiels
    Galashiels is a town in the Scottish Borders known historically for its textile industry and as a regional commercial and educational hub.
  • E. Kilwinning
    Kilwinning is a historic Scottish town in North Ayrshire, noted for its medieval abbey and strong connections to early Freemasonry.
  • 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_69ab495e192081909c77b622e8e7e15a completed March 6, 2026, 9:38 p.m.
NER Named-entity recognition batch_69abd91b4b3c81908571e85a1621dfc5 completed March 7, 2026, 7:51 a.m.
NED1 Entity disambiguation (via context triple) batch_69b31a46eea081909e1faf639f7789ff completed March 12, 2026, 7:55 p.m.
Created at: March 6, 2026, 9:53 p.m.