Triple

T15277987
Position Surface form Disambiguated ID Type / Status
Subject Tucanoan languages E365192 entity
Predicate hasMemberLanguage P7390 FINISHED
Object Siona E1014464 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: Siona | Statement: [Tucanoan languages, hasMemberLanguage, Siona]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Siona
Context triple: [Tucanoan languages, hasMemberLanguage, Siona]
  • A. Siona chosen
    Siona are an Indigenous people of the western Amazon, primarily living along the Putumayo River in Colombia and Ecuador, known for their traditional shamanic practices and rich rainforest culture.
  • B. Sianne
    Sianne is a river that serves as a tributary to the Alagnon in south-central France.
  • C. Sonya
    Sonya is a central, selfless and emotionally resilient young woman in Anton Chekhov’s play "Uncle Vanya," embodying unrequited love and quiet endurance amid family turmoil.
  • D. Sonya
    Sonya is a gentle, selfless young woman in Leo Tolstoy’s novel "War and Peace," known for her unrequited love and quiet loyalty to the Rostov family.
  • E. Gwen Raiden
    Gwen Raiden is a lightning-controlling thief and occasional ally of Angel and his team in the television series "Angel."
  • 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_69d85a103d9081908c1ea6c4c73ac8e3 completed April 10, 2026, 2:01 a.m.
NER Named-entity recognition batch_69e00953bc848190b83919f39d5ee37b completed April 15, 2026, 9:55 p.m.
NED1 Entity disambiguation (via context triple) batch_69feef734f488190951d029183d456f5 completed May 9, 2026, 8:25 a.m.
Created at: April 10, 2026, 3:14 a.m.