Triple

T3862334
Position Surface form Disambiguated ID Type / Status
Subject Dunedin E90167 entity
Predicate locatedIn P40 FINISHED
Object Otago E141724 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: Otago | Statement: [Dunedin, locatedIn, Otago]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Otago
Context triple: [Dunedin, locatedIn, Otago]
  • A. Otago chosen
    Otago is a large region in the south of New Zealand known for its dramatic landscapes, historic gold-mining heritage, and the university city of Dunedin.
  • B. Hurunui District
    Hurunui District is a largely rural local government area in North Canterbury, New Zealand, known for its farming communities, vineyards, and scenic landscapes stretching from the Pacific coast to the Southern Alps.
  • C. Taranaki Region
    Taranaki Region is a coastal region on New Zealand’s North Island, dominated by the volcanic peak of Mount Taranaki and known for its dairy farming and rugged surf beaches.
  • D. Tasman District
    Tasman District is a local government district in the northwest of New Zealand’s South Island, known for its coastal landscapes, national parks, and outdoor recreation.
  • E. South Island
    South Island is a volcanic island located within Kenya’s Lake Turkana, known for its stark lava landscapes and rich bird and crocodile populations.
  • 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_69aed95b3c088190a8f85d19e6070599 completed March 9, 2026, 2:29 p.m.
NER Named-entity recognition batch_69aeec22a5dc8190be8298d1ce8ca449 completed March 9, 2026, 3:49 p.m.
NED1 Entity disambiguation (via context triple) batch_69b57f0ebb588190bb7a935e066f9e4b completed March 14, 2026, 3:30 p.m.
Created at: March 9, 2026, 3:19 p.m.