Triple

T10490016
Position Surface form Disambiguated ID Type / Status
Subject Kunjara E247390 entity
Predicate hasAlternativeName P39 FINISHED
Object Konjara E247389 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: Konjara | Statement: [Kunjara, hasAlternativeName, Konjara]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Konjara
Context triple: [Kunjara, hasAlternativeName, Konjara]
  • A. Konjara chosen
    Konjara is an alternative name for the Fur language, a Nilo-Saharan language spoken primarily by the Fur people of western Sudan.
  • B. Kadiria
    Kadiria is a town and commune located within Bouira Province in northern Algeria.
  • C. Dorla
    Dorla are an indigenous Adivasi community of the Bastar region in central India, known for their distinct cultural traditions, language, and close relationship with forest-based livelihoods.
  • D. Khashuri
    Khashuri is a town in central Georgia that serves as an important regional transport hub and gateway between eastern and western parts of the country.
  • E. Katurian
    Katurian is the troubled fiction writer at the center of Martin McDonagh’s dark play "The Pillowman," whose disturbing stories become entangled with a series of real-life crimes.
  • 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_69d381c309b88190af78aa681cf6a4c2 completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d5097d61e08190952d4354ef1bce52 completed April 7, 2026, 1:41 p.m.
NED1 Entity disambiguation (via context triple) batch_69d90dc44d7881908391487275b845bf completed April 10, 2026, 2:48 p.m.
Created at: April 6, 2026, 12:23 p.m.