Triple

T13389249
Position Surface form Disambiguated ID Type / Status
Subject Cessnock High School E319529 entity
Predicate locatedIn P40 FINISHED
Object Cessnock E81928 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: Cessnock | Statement: [Cessnock High School, locatedIn, Cessnock]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Cessnock
Context triple: [Cessnock High School, locatedIn, Cessnock]
  • A. Cessnock
    Cessnock is a residential district in the Govan area of Glasgow, Scotland, known for its tenement housing and proximity to major city landmarks.
  • B. Cessnock chosen
    Cessnock is a city in New South Wales, Australia, known as a gateway to the Hunter Valley wine region.
  • C. Cressbrook
    Cressbrook is a small village in Derbyshire, England, known for its picturesque setting in the Peak District and its historic former cotton mill by the River Wye.
  • D. Ockbrook
    Ockbrook is a village in Derbyshire, England, known for its historic Moravian settlement and traditional English rural character.
  • E. Peaslake
    Peaslake is a small rural village in Surrey, England, known for its scenic woodland surroundings and popularity with walkers and mountain bikers.
  • 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_69d806b886bc8190b676e7768b8e01c5 completed April 9, 2026, 8:06 p.m.
NER Named-entity recognition batch_69dba0d3a40081909ba49556130ad0e7 completed April 12, 2026, 1:40 p.m.
NED1 Entity disambiguation (via context triple) batch_69f754734db081909f262fa2325b7e6d completed May 3, 2026, 1:58 p.m.
Created at: April 9, 2026, 9:34 p.m.