Triple

T4722346
Position Surface form Disambiguated ID Type / Status
Subject Wollombi E104797 entity
Predicate localGovernmentArea P3379 FINISHED
Object Cessnock City E450912 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 City | Statement: [Wollombi, localGovernmentArea, Cessnock City]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Cessnock City
Context triple: [Wollombi, localGovernmentArea, Cessnock City]
  • A. Cessnock City chosen
    Cessnock City is a local government area in the Hunter Region of New South Wales, Australia, known for its wine-producing regions and rural communities.
  • B. Knightdale
    Knightdale is a suburban town in Wake County, North Carolina, located just east of Raleigh within the state’s Research Triangle region.
  • C. Ochre City
    Ochre City is a popular nickname for Marrakesh, referring to the Moroccan city's distinctive red and ochre-colored buildings and walls.
  • D. King City
    King City is a small community named after and located within the municipality of King in Ontario, Canada.
  • E. Kingsland
    Kingsland is a vibrant inner-city suburb of Auckland, New Zealand, known for its cafes, bars, and proximity to Eden Park stadium.
  • 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_69bd43ed84648190ae0b7ee8e8d00482 completed March 20, 2026, 12:56 p.m.
NER Named-entity recognition batch_69bd642b82008190bb70dd60a4149502 completed March 20, 2026, 3:13 p.m.
NED1 Entity disambiguation (via context triple) batch_69be1094fd9c81909e12723394f9ae0a completed March 21, 2026, 3:29 a.m.
Created at: March 20, 2026, 1:18 p.m.