Triple

T18265175
Position Surface form Disambiguated ID Type / Status
Subject Angolar community E437464 entity
Predicate ethnolinguisticIdentity P35871 FINISHED
Object Angolar 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: Angolar | Statement: [Angolar community, ethnolinguisticIdentity, Angolar]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Angolar
Context triple: [Angolar community, ethnolinguisticIdentity, Angolar]
  • A. Angolar chosen
    Angolar is a Portuguese-based creole language spoken primarily by the Angolar community on the island of São Tomé in São Tomé and Príncipe.
  • B. Angy
    Angy is a diminutive or affectionate nickname commonly used for the given name Angela.
  • C. Anglona
    Anglona is a historical and geographical subregion in northern Sardinia, Italy, known for its rural landscapes, medieval villages, and traditional Sardinian culture.
  • D. Anga
    Anga was an ancient kingdom in the eastern Indian subcontinent, often noted in epic literature as the realm ruled by the warrior Karna.
  • E. Angi
    Angi is a digital marketplace that connects homeowners with local contractors and service professionals for home improvement and repair projects.
  • 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_69d8b913351c8190932b6a426de04b41 completed April 10, 2026, 8:47 a.m.
NER Named-entity recognition batch_69e4ff79851481909a4bbeb14fb00647 completed April 19, 2026, 4:14 p.m.
Created at: April 10, 2026, 10:34 a.m.