Triple

T9782065
Position Surface form Disambiguated ID Type / Status
Subject DA postcode area E237398 entity
Predicate containsPostTown P2711 FINISHED
Object Hartley E781112 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: Hartley | Statement: [DA postcode area, containsPostTown, Hartley]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Hartley
Context triple: [DA postcode area, containsPostTown, Hartley]
  • A. Hartley
    Hartley is a small census-designated community located in Solano County, California.
  • B. Hartley
    Hartley is an English-language surname of Old English origin, commonly associated with various notable figures across fields such as science, politics, and the arts.
  • C. Hartley chosen
    Hartley is a village in north-west Kent, England, known for its rural character and residential communities within commuting distance of London.
  • D. Murston
    Murston is a locality within the Swale district of Kent, England, historically associated with brickmaking and now largely a residential suburb.
  • E. Ainslie
    Ainslie is a residential suburb in Canberra, Australia, known for its leafy streets, heritage homes, and proximity to bushland and central city amenities.
  • 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_69ca84da927881909bda80caecad6010 completed March 30, 2026, 2:12 p.m.
NER Named-entity recognition batch_69cda1b23cb88190b458ab18d5f7f493 completed April 1, 2026, 10:52 p.m.
NED1 Entity disambiguation (via context triple) batch_69d1c41b31b08190937f374c2d51aa1b completed April 5, 2026, 2:08 a.m.
Created at: March 30, 2026, 8:27 p.m.