Triple

T17165539
Position Surface form Disambiguated ID Type / Status
Subject Ōtaki E416599 entity
Predicate locatedSouthOf P9676 FINISHED
Object Levin E290326 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: Levin | Statement: [Ōtaki, locatedSouthOf, Levin]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Levin
Context triple: [Ōtaki, locatedSouthOf, Levin]
  • A. Levin
    Levin is a surname of Jewish origin borne by various notable individuals across fields such as business, politics, and the arts.
  • B. Levin chosen
    Levin is a town in New Zealand’s North Island known as a service and retail hub for the surrounding agricultural Horowhenua district.
  • C. Levin
    Levin is a masculine given name of Germanic origin, historically borne by figures such as the Russian general Levin August von Bennigsen.
  • D. Levshitz
    Levshitz is an alternative transliteration of the Russian surname Lifshitz, commonly associated with several notable scientists and intellectuals.
  • E. Lev
    Lev is the abbreviated name of the Czech ice hockey club HC Lev Praha (Lion Prague), which competed in the Kontinental Hockey League.
  • 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_69d886d279c081909f8ff1f743ddeb69 completed April 10, 2026, 5:12 a.m.
NER Named-entity recognition batch_69e3f914a0748190b2658edbe576ea2d completed April 18, 2026, 9:35 p.m.
NED1 Entity disambiguation (via context triple) batch_6a015fc687788190864fa3922a31184d completed May 11, 2026, 4:49 a.m.
Created at: April 10, 2026, 5:37 a.m.