Triple

T23062090
Position Surface form Disambiguated ID Type / Status
Subject Louth E574931 entity
Predicate hasPostTown P2711 FINISHED
Object LOUTH 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: LOUTH | Statement: [Louth, hasPostTown, LOUTH]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: LOUTH
Context triple: [Louth, hasPostTown, LOUTH]
  • A. LOUTH chosen
    LOUTH is a market town and civil parish in Lincolnshire, England, known for its historic architecture and role as a local commercial and cultural center.
  • B. Luttrellstown
    Luttrellstown is a historic estate and townland in County Dublin, Ireland, best known for its grand castle, golf course, and use as an exclusive event and wedding venue.
  • C. Lethnot
    Lethnot is a small rural village located in the Angus council area of eastern Scotland, known for its scenic countryside setting.
  • D. Loughshinny
    Loughshinny is a small coastal village in County Dublin, Ireland, known for its scenic harbour, beach, and rural character along the Irish Sea.
  • E. Charlemont
    Charlemont is a developing residential suburb located within the City of Greater Geelong in Victoria, Australia.
  • 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_69e245bd6e4c8190bb8942245b68cad5 completed April 17, 2026, 2:37 p.m.
NER Named-entity recognition batch_69f189a0c3c881909f137ad511c216ac completed April 29, 2026, 4:31 a.m.
Created at: April 17, 2026, 3:55 p.m.