Triple

T855911
Position Surface form Disambiguated ID Type / Status
Subject Auckland E18491 entity
Predicate locatedIn P40 FINISHED
Object North Island E14332 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: North Island | Statement: [Auckland, locatedIn, North Island]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: North Island
Context triple: [Auckland, locatedIn, North Island]
  • A. North Island chosen
    North Island is one of New Zealand’s two main islands, known for its major cities, volcanic landscapes, and significant cultural and economic centers.
  • B. King Island
    King Island is a remote island in Bass Strait known for its rugged coastline, rich wildlife, and premium dairy and beef production.
  • C. South Island
    South Island is the larger of New Zealand’s two main islands, renowned for its dramatic mountains, fjords, and sparsely populated natural landscapes.
  • D. South Island
    South Island is one of the islands that make up Toronto’s waterfront Toronto Islands archipelago, known for its parkland and recreational spaces.
  • E. Garden Island
    Garden Island is a largely uninhabited, forested island in northern Lake Michigan known for its natural beauty and historical Native American sites.
  • 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_69a4938bdd3c8190a954a3c11844d9cf completed March 1, 2026, 7:29 p.m.
NER Named-entity recognition batch_69a4ac3c172481908ed164ee1579ec28 completed March 1, 2026, 9:14 p.m.
NED1 Entity disambiguation (via context triple) batch_69ac4bfe2ce081908c358689ec2c58e6 completed March 7, 2026, 4:02 p.m.
Created at: March 1, 2026, 7:39 p.m.