Triple

T20646934
Position Surface form Disambiguated ID Type / Status
Subject Chinley E507378 entity
Predicate hasPostTown P2711 FINISHED
Object HIGH PEAK NE NERFINISHED

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: HIGH PEAK | Statement: [Chinley, hasPostTown, HIGH PEAK]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: HIGH PEAK
Context triple: [Chinley, hasPostTown, HIGH PEAK]
  • A. HIGH PEAK chosen
    HIGH PEAK is a local government district in Derbyshire, England, known for its upland landscapes within the Peak District National Park.
  • B. PEAK
    PEAK (Programs in English at Komaba) is an English-taught undergraduate degree program offered by the University of Tokyo at its Komaba campus, designed to attract and educate international students.
  • C. Wysoka
    Wysoka is a prominent peak in the Pieniny Mountains on the Polish–Slovak border, known for its scenic views and popular hiking trails.
  • D. Wysoka
    Wysoka is a village in southern Poland located within the administrative district of Gmina Jordanów in Lesser Poland Voivodeship.
  • E. Hight
    Hight is a music producer and DJ known for collaborating with artists in the electronic and dance-pop scene, including German DJ Felix Jaehn.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e0b4be702c8190a3d2410a881d310a completed April 16, 2026, 10:06 a.m.
NER Named-entity recognition batch_69e6af1eee9c81908fd3b4fe8c4529c8 completed April 20, 2026, 10:56 p.m.
Created at: April 16, 2026, 11:43 a.m.