Triple

T9173304
Position Surface form Disambiguated ID Type / Status
Subject Patamona language E220132 entity
Predicate glottologName P6521 FINISHED
Object Patamona E618490 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: Patamona | Statement: [Patamona language, glottologName, Patamona]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Patamona
Context triple: [Patamona language, glottologName, Patamona]
  • A. Patamona chosen
    The Patamona are an Indigenous people of the Guiana Highlands, primarily living in Guyana and Brazil, known for their distinct language, traditional subsistence farming, and rich forest-based cultural practices.
  • B. Monywa
    Monywa is a significant commercial and transport hub in central Myanmar, known for its trade, agriculture, and nearby Buddhist sites.
  • C. Marangona
    Marangona is the largest and most famous bell of St Mark's Campanile in Venice, traditionally used to mark the beginning and end of the working day and to signal important civic events.
  • D. Upata
    Upata is a town in southeastern Venezuela known as an agricultural and commercial center within Bolívar State.
  • E. Pischa
    Pischa is a mountain area and ski region near Davos in the Swiss Alps, known for its freeride terrain and winter sports opportunities.
  • 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_69ca83e467108190abcae6a33b3d4dad completed March 30, 2026, 2:08 p.m.
NER Named-entity recognition batch_69ccbfa128d48190b54b8f95d77d81cc completed April 1, 2026, 6:48 a.m.
NED1 Entity disambiguation (via context triple) batch_69d0549d81d88190bea0995ad0016437 completed April 4, 2026, midnight
Created at: March 30, 2026, 7:22 p.m.