Triple

T10491526
Position Surface form Disambiguated ID Type / Status
Subject Arajuno Canton E247430 entity
Predicate seat P75 FINISHED
Object Arajuno E867542 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: Arajuno | Statement: [Arajuno Canton, seat, Arajuno]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Arajuno
Context triple: [Arajuno Canton, seat, Arajuno]
  • A. Arajuno chosen
    Arajuno is a small town in Ecuador’s Amazon region that serves as an administrative and commercial center for the surrounding rainforest communities.
  • B. Ngaju
    Ngaju is an Austronesian language spoken primarily by the Ngaju Dayak people in Central Kalimantan on the island of Borneo in Indonesia.
  • C. Bima
    Bima is a coastal city on the eastern part of Sumbawa Island in Indonesia, known as a regional hub for trade and culture in West Nusa Tenggara.
  • D. Djoeka
    Djoeka, also known as Njuká, is a Maroon ethnic group in Suriname and French Guiana descended from escaped African slaves who established independent communities in the rainforest.
  • E. Pakualaman
    Pakualaman is a small hereditary Javanese princely state and court within Yogyakarta, established in the 19th century as a minor parallel to the main sultanate.
  • 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_69d5097e1c888190bc8e039f2e46181e completed April 7, 2026, 1:41 p.m.
NED1 Entity disambiguation (via context triple) batch_69d90dd040f48190a645ebd131f9205c completed April 10, 2026, 2:48 p.m.
Created at: April 6, 2026, 12:24 p.m.