Triple

T3539270
Position Surface form Disambiguated ID Type / Status
Subject Paipai E74842 entity
Predicate traditionalLanguage P6149 FINISHED
Object Paipai language E11437 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: Paipai language | Statement: [Paipai, traditionalLanguage, Paipai language]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Paipai language
Context triple: [Paipai, traditionalLanguage, Paipai language]
  • A. Paipai language chosen
    The Paipai language is an indigenous Yuman language spoken by the Paipai people of northern Baja California, Mexico, and is considered highly endangered.
  • B. Piipaash language
    The Piipaash language is a Native American language of the Yuman family traditionally spoken by the Piipaash (Maricopa) people of the lower Colorado River region in the southwestern United States.
  • C. Ipai language
    The Ipai language is a Native American language traditionally spoken by the Kumeyaay (Ipai) people of southern California and northern Baja California.
  • D. Tyap language
    Tyap language is a Plateau language of the Niger-Congo family spoken predominantly by the Atyap people in southern Kaduna State, Nigeria.
  • E. Pichi language
    Pichi is an English-based creole language spoken primarily in Equatorial Guinea, where it serves as a major lingua franca and has significantly shaped local varieties of Spanish.
  • 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_69ad85d274cc8190ab59c97298a1cfbf completed March 8, 2026, 2:21 p.m.
NER Named-entity recognition batch_69adbcca5e008190abcfe40c8902a95f completed March 8, 2026, 6:15 p.m.
NED1 Entity disambiguation (via context triple) batch_69b38bd7fa3881909fee11cc6f4af7ea completed March 13, 2026, 4 a.m.
Created at: March 8, 2026, 3:20 p.m.