Triple

T5422118
Position Surface form Disambiguated ID Type / Status
Subject Angolar Creole E121276 entity
Predicate alternativeName P39 FINISHED
Object Língua Angolar E437462 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: Língua Angolar | Statement: [Angolar Creole, alternativeName, Língua Angolar]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Língua Angolar
Context triple: [Angolar Creole, alternativeName, Língua Angolar]
  • A. Anakalangu language
    The Anakalangu language is an Austronesian language spoken by communities on the island of Sumba in eastern Indonesia.
  • B. Apurinã language
    The Apurinã language is an indigenous Arawakan language spoken by the Apurinã people of the Brazilian Amazon, known for its complex verbal morphology and endangered status.
  • C. Forro language chosen
    Forro language is a Portuguese-based creole spoken primarily on São Tomé Island in São Tomé and Príncipe.
  • D. Hoanya language
    The Hoanya language is an extinct Austronesian language once spoken by the Hoanya people of western Taiwan and classified among the indigenous Formosan languages.
  • E. Nendö language
    The Nendö language is an Oceanic language spoken on Nendö Island in the Solomon Islands’ Temotu Province.
  • 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_69bd463b58d88190b258261573de9e91 completed March 20, 2026, 1:06 p.m.
NER Named-entity recognition batch_69bd87ec45c48190a8a25bf582b02440 completed March 20, 2026, 5:46 p.m.
NED1 Entity disambiguation (via context triple) batch_69bf3ab7f6b481908fead172fbdafe36 completed March 22, 2026, 12:41 a.m.
Created at: March 20, 2026, 2:06 p.m.