Triple

T8926041
Position Surface form Disambiguated ID Type / Status
Subject Kesh Temple Hymn E212540 entity
Predicate associatedPlace P1481 FINISHED
Object Kesh E334656 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: Kesh | Statement: [Kesh Temple Hymn, associatedPlace, Kesh]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kesh
Context triple: [Kesh Temple Hymn, associatedPlace, Kesh]
  • A. Kesh
    Kesh is the Sikh practice of maintaining uncut hair, symbolizing spiritual devotion and respect for the natural form given by God.
  • B. Kesh chosen
    Kesh was a historic Central Asian city in present-day Uzbekistan, known as the birthplace of the conqueror Timur (Tamerlane).
  • C. Keshi
    Keshi is a horse-demon in Hindu mythology best known for being slain by the god Krishna (also called Kesava).
  • D. Kes
    Kes is a 1969 British drama film directed by Ken Loach, widely acclaimed for its realistic portrayal of a working-class boy in Northern England who finds solace in training a kestrel.
  • E. Kes
    Kes is an Ocampa crew member on Star Trek: Voyager, known for her short lifespan, strong empathic and telepathic abilities, and close relationships with Neelix and the Doctor.
  • 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_69ca839481d48190b42b037e0d0f636c completed March 30, 2026, 2:07 p.m.
NER Named-entity recognition batch_69cc66700fb48190874563e535f20437 completed April 1, 2026, 12:27 a.m.
NED1 Entity disambiguation (via context triple) batch_69cfba58e9ec81909141c516d05ac790 completed April 3, 2026, 1:02 p.m.
Created at: March 30, 2026, 6:57 p.m.