Triple

T10747894
Position Surface form Disambiguated ID Type / Status
Subject Cambridge, New Zealand E253497 entity
Predicate isLocatedIn 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: [Cambridge, New Zealand, isLocatedIn, North Island]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: North Island
Context triple: [Cambridge, New Zealand, isLocatedIn, 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. North Island
    North Island is a volcanic island located within Kenya’s Lake Turkana, known for its stark lava landscapes and unique desert-lake ecosystem.
  • C. North Island
    North Island is a major U.S. Navy aviation facility on Coronado Island in San Diego Bay, known for its air station and shipyard operations.
  • D. Stephens Island
    Stephens Island is a small, remote island in New Zealand’s Cook Strait, historically notable for its unique wildlife and the infamous extinction of the Stephens Island wren.
  • E. King Island
    King Island is a remote island in Bass Strait known for its rugged coastline, rich wildlife, and premium dairy and beef production.
  • 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_69d6aa5e51e8819095f06881cecf152e completed April 8, 2026, 7:19 p.m.
NER Named-entity recognition batch_69d711b9242c81908dbf3fa155159b3c completed April 9, 2026, 2:40 a.m.
NED1 Entity disambiguation (via context triple) batch_69de231af7388190b73347a3ffc1077a completed April 14, 2026, 11:20 a.m.
Created at: April 8, 2026, 9:15 p.m.