Triple

T10784213
Position Surface form Disambiguated ID Type / Status
Subject Amuzgo language E254409 entity
Predicate hasAlternativeName P39 FINISHED
Object Ñomndaa E254410 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: Ñomndaa | Statement: [Amuzgo language, hasAlternativeName, Ñomndaa]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ñomndaa
Context triple: [Amuzgo language, hasAlternativeName, Ñomndaa]
  • A. Ñomndaa chosen
    Ñomndaa is the endonym used by speakers of the Amuzgo language, an indigenous Oto-Manguean language of southern Mexico.
  • B. Jomnama
    Jomnama is a traditional festival associated with the Ho community, reflecting their cultural heritage and communal celebrations.
  • C. Namnetes
    The Namnetes were an ancient Celtic tribe of western Gaul, associated with the region around modern Nantes in present-day France.
  • D. Nomi
    Nomi is the new 00-agent who succeeds James Bond in the 2021 James Bond film "No Time to Die."
  • E. Nimiipuu
    Nimiipuu are an Indigenous people of the Pacific Northwest region of the United States, historically known for their rich cultural traditions, horse culture, and resistance to U.S. expansion in the 19th century.
  • 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_69d6aa609f008190a294200aefcb7bd5 completed April 8, 2026, 7:20 p.m.
NER Named-entity recognition batch_69d732d2e7cc8190a4cb9a4d7c76ab15 completed April 9, 2026, 5:02 a.m.
NED1 Entity disambiguation (via context triple) batch_69de5609bf9c81908f47591f74c04701 completed April 14, 2026, 2:58 p.m.
Created at: April 8, 2026, 9:17 p.m.