Triple

T3207778
Position Surface form Disambiguated ID Type / Status
Subject Shahrisabz E67205 entity
Predicate formerName P65 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: [Shahrisabz, formerName, Kesh]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kesh
Context triple: [Shahrisabz, formerName, 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. 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.
  • D. 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.
  • E. Keke
    "Keke" is a hip-hop single by rapper Tekashi 6ix9ine, known for its aggressive style and collaboration with fellow New York artists.
  • 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_69ad858ac36c81909962589cd277d6e2 completed March 8, 2026, 2:19 p.m.
NER Named-entity recognition batch_69adaa58340881908347d772cfa0ac4c completed March 8, 2026, 4:56 p.m.
NED1 Entity disambiguation (via context triple) batch_69b24bd0fcac8190a35690a109280702 completed March 12, 2026, 5:14 a.m.
Created at: March 8, 2026, 3:07 p.m.