Triple

T8722689
Position Surface form Disambiguated ID Type / Status
Subject Ventura E207049 entity
Predicate producer P490 FINISHED
Object Pomo E91469 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: Pomo | Statement: [Ventura, producer, Pomo]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Pomo
Context triple: [Ventura, producer, Pomo]
  • A. Pomo chosen
    The Pomo are a Native American people indigenous to what is now Northern California, traditionally known for their intricate basketry and diverse local dialects.
  • B. Punasa
    Punasa is a town in Madhya Pradesh, India, known for its proximity to the major Indira Sagar Dam on the Narmada River.
  • C. Piapoko
    Piapoko is an Arawakan Indigenous people of the Orinoco River region in Colombia and Venezuela, known for their traditional culture and language.
  • D. Pomo people
    The Pomo people are a Native American group indigenous to what is now northern California, known for their complex social organization and highly skilled basketry traditions.
  • E. Munduruku
    Munduruku is an indigenous people of the Brazilian Amazon known for their distinct language, rich cultural traditions, and historical prominence along the Tapajós River.
  • 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_69ca835811d8819081ea00fd2a2c9a1c completed March 30, 2026, 2:06 p.m.
NER Named-entity recognition batch_69cc5d0609f48190adc56226724b16c6 completed March 31, 2026, 11:47 p.m.
NED1 Entity disambiguation (via context triple) batch_69cf290001108190a90784b13a0a25b1 completed April 3, 2026, 2:42 a.m.
Created at: March 30, 2026, 6:36 p.m.