Triple

T9483498
Position Surface form Disambiguated ID Type / Status
Subject Northern Zamboanga Cebuano E228703 entity
Predicate hasLexicalInfluenceFrom P2268 FINISHED
Object Chavacano language E100450 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: Chavacano language | Statement: [Northern Zamboanga Cebuano, hasLexicalInfluenceFrom, Chavacano language]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Chavacano language
Context triple: [Northern Zamboanga Cebuano, hasLexicalInfluenceFrom, Chavacano language]
  • A. Chavacano chosen
    Chavacano is a Spanish-based creole language spoken in parts of the Philippines, particularly in Zamboanga City and other areas of Mindanao.
  • B. Chabacano
    Chabacano is a major Mexico City Metro transfer station that connects multiple lines and serves as an important transit hub in the city’s network.
  • C. Serrano language
    The Serrano language is an endangered Uto-Aztecan Native American language traditionally spoken by the Serrano people of Southern California.
  • D. Llanito
    Llanito is a unique vernacular spoken in Gibraltar that blends Andalusian Spanish, British English, and elements from other Mediterranean languages.
  • E. Kaqchikel
    Kaqchikel is a Mayan language spoken primarily by the Kaqchikel people in the central highlands of Guatemala.
  • 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_69ca84730a5081908de282651019bf2f completed March 30, 2026, 2:10 p.m.
NER Named-entity recognition batch_69cd804c859081908c261ad16b501f0d completed April 1, 2026, 8:30 p.m.
NED1 Entity disambiguation (via context triple) batch_69d12d0bf0c08190ab96db3eb522c91e completed April 4, 2026, 3:23 p.m.
Created at: March 30, 2026, 7:55 p.m.