Triple

T7185749
Position Surface form Disambiguated ID Type / Status
Subject Tunja E167566 entity
Predicate formerName P65 FINISHED
Object Hunza E304341 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: Hunza | Statement: [Tunja, formerName, Hunza]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Hunza
Context triple: [Tunja, formerName, Hunza]
  • A. Hunza chosen
    Hunza was the principal city and political center of the Zaque rulers within the pre-Columbian Muisca Confederation in what is now central Colombia.
  • B. Hunza
    Hunza is a mountainous valley and popular tourist destination in northern Pakistan, renowned for its dramatic Karakoram scenery and traditionally long-lived local population.
  • C. Huenchula
    Huenchula is a figure from Chilote mythology, often depicted as a supernatural or magical being associated with the folklore of Chile’s Chiloé Archipelago.
  • D. Hachuamish
    Hachuamish is a traditional clan or band within the Duwamish people, an Indigenous Coast Salish group native to the Seattle area of Washington State.
  • E. Hutaosa
    Hutaosa is an alternative or variant form of the ancient Persian female name Atossa, borne by a prominent Achaemenid queen.
  • 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_69c6888a7c548190a3d39b52a393080f completed March 27, 2026, 1:39 p.m.
NER Named-entity recognition batch_69c6e8df6a6881909c3174f86c9a6b28 completed March 27, 2026, 8:30 p.m.
NED1 Entity disambiguation (via context triple) batch_69c7b950f90c81908391a96071594ea6 completed March 28, 2026, 11:19 a.m.
Created at: March 27, 2026, 2:49 p.m.