Triple

T11696223
Position Surface form Disambiguated ID Type / Status
Subject Johnstone E278000 entity
Predicate hasPostTown P2711 FINISHED
Object JOHNSTONE E278000 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: JOHNSTONE | Statement: [Johnstone, hasPostTown, JOHNSTONE]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: JOHNSTONE
Context triple: [Johnstone, hasPostTown, JOHNSTONE]
  • A. New Johnston
    New Johnston is a modernized sans-serif typeface developed as an updated version of the original Johnston design used for London’s public transport system.
  • B. Johnston
    Johnston is a suburban town in Providence County, Rhode Island, known for hosting several state government facilities and a mix of residential and commercial areas.
  • C. Johnston
    Johnston is a suburban city in central Iowa, United States, known for hosting the headquarters of the Iowa National Guard and several major corporate offices.
  • D. Johnston
    Johnston is a surname and given name of Scottish and Irish origin, commonly used as a variant of Johnson.
  • E. Johnstone chosen
    Johnstone is a small town in the council area of Renfrewshire in western Scotland, known historically for its textile and engineering industries.
  • 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_69d6aafe02d881909900d54ad7d4af84 completed April 8, 2026, 7:22 p.m.
NER Named-entity recognition batch_69d8a47cef60819088b7cc3a3a711e4c completed April 10, 2026, 7:19 a.m.
NED1 Entity disambiguation (via context triple) batch_69ef1471cba88190a7abdcbf4f579ea9 completed April 27, 2026, 7:46 a.m.
Created at: April 8, 2026, 9:40 p.m.