Triple

T2637549
Position Surface form Disambiguated ID Type / Status
Subject Thomas Bracken E59782 entity
Predicate placeOfActivity P1527 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: [Thomas Bracken, placeOfActivity, Otago]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Otago
Context triple: [Thomas Bracken, placeOfActivity, 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. 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.
  • C. 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.
  • D. 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.
  • E. 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.
  • 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_69ab4ac8596c8190b34997e73d9e991c completed March 6, 2026, 9:44 p.m.
NER Named-entity recognition batch_69abd8e3190081908ea828fe79569cc9 completed March 7, 2026, 7:50 a.m.
NED1 Entity disambiguation (via context triple) batch_69afaf4648208190a837abe42115f8a1 completed March 10, 2026, 5:42 a.m.
Created at: March 6, 2026, 9:50 p.m.