Triple

T22169852
Position Surface form Disambiguated ID Type / Status
Subject Xichangana E547889 entity
Predicate alternativeName P39 FINISHED
Object Changana NE NERFINISHED

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: Changana | Statement: [Xichangana, alternativeName, Changana]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Changana
Context triple: [Xichangana, alternativeName, Changana]
  • A. Changana chosen
    Changana is a Bantu language spoken primarily in southern Mozambique and neighboring regions, known for its significant influence on local varieties of African Portuguese.
  • B. Chimakuan
    Chimakuan is a small, extinct family of indigenous languages once spoken in the Pacific Northwest region of North America, particularly on the Olympic Peninsula in Washington State.
  • C. Chonchi
    Chonchi is a small historic coastal town on Chiloé Island in southern Chile, known for its traditional wooden architecture and UNESCO-listed church.
  • D. Chinnha
    Chinnha is a notable literary work by the influential Bengali writer Manik Bandopadhyay.
  • E. Chunia
    Chunia is a little-known genus of flowering plants in the witch-hazel family, Hamamelidaceae.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e11e3c4c5c81908d336165816b12e0 completed April 16, 2026, 5:37 p.m.
NER Named-entity recognition batch_69f12a67f4dc81909cc5f8d2c1fe6129 completed April 28, 2026, 9:45 p.m.
Created at: April 16, 2026, 8:34 p.m.