Triple

T23124035
Position Surface form Disambiguated ID Type / Status
Subject Christchurch City E576975 entity
Predicate hasSuburb P747 FINISHED
Object Papanui 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: Papanui | Statement: [Christchurch City, hasSuburb, Papanui]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Papanui
Context triple: [Christchurch City, hasSuburb, Papanui]
  • A. Papanui chosen
    Papanui is a suburb and former parliamentary electorate in Christchurch, New Zealand.
  • B. Pukenui
    Pukenui is a small coastal settlement in New Zealand’s Far North District, known as a gateway to the remote northern tip of the country and for its fishing and harbor activities.
  • C. Mangonui
    Mangonui is a small historic coastal town in New Zealand known for its scenic harbour, fishing heritage, and popular waterfront fish and chip shops.
  • D. Opononi
    Opononi is a small coastal settlement in New Zealand known for its scenic Hokianga Harbour views and historic seaside charm.
  • E. Tapanui
    Tapanui is a small rural town in South Otago, New Zealand, known historically for forestry and farming.
  • 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_69e245f6c2e881909a228fdcfeb7c7d3 completed April 17, 2026, 2:38 p.m.
NER Named-entity recognition batch_69f18e5299c08190a578102cf2ff7080 completed April 29, 2026, 4:51 a.m.
Created at: April 17, 2026, 3:59 p.m.