Triple

T10815760
Position Surface form Disambiguated ID Type / Status
Subject Kongur Tagh E255223 entity
Predicate alternateName P39 FINISHED
Object Kongur E255223 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: Kongur | Statement: [Kongur Tagh, alternateName, Kongur]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kongur
Context triple: [Kongur Tagh, alternateName, Kongur]
  • A. Kungrad
    Kungrad is a town in northwestern Uzbekistan that serves as an important local center within the autonomous Republic of Karakalpakstan.
  • B. Tongelre
    Tongelre is a district in the Dutch city of Eindhoven, known for its mix of residential neighborhoods, green spaces, and former industrial areas.
  • C. Kungara
    Kungara is an alternative name for the Fur language, a Nilo-Saharan language spoken primarily by the Fur people of western Sudan.
  • D. Kongur Tagh chosen
    Kongur Tagh is a massive, glaciated peak in western China that ranks among the highest mountains in the world and dominates the eastern edge of the Pamir region.
  • E. Kangar
    Kangar is the main administrative and commercial center of the Malaysian state of Perlis.
  • 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_69d6aa8081448190a9324184f2bd1c26 completed April 8, 2026, 7:20 p.m.
NER Named-entity recognition batch_69d733edab248190b2cf7f7bc2684468 completed April 9, 2026, 5:06 a.m.
NED1 Entity disambiguation (via context triple) batch_69de855799748190b51745a198daa8d0 completed April 14, 2026, 6:20 p.m.
Created at: April 8, 2026, 9:18 p.m.