Triple

T6099052
Position Surface form Disambiguated ID Type / Status
Subject Laiyolo language E135948 entity
Predicate hasAlternativeName P39 FINISHED
Object Laiyoloq E569536 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: Laiyoloq | Statement: [Laiyolo language, hasAlternativeName, Laiyoloq]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Laiyoloq
Context triple: [Laiyolo language, hasAlternativeName, Laiyoloq]
  • A. Laiyolo chosen
    Laiyolo is an Austronesian language spoken by a small community in South Sulawesi, Indonesia.
  • B. Dilofo
    Dilofo is a traditional stone-built mountain village in the Zagori region of Epirus, Greece, known for its preserved architecture and scenic setting.
  • C. Rolihlahla
    Rolihlahla is the Xhosa birth name of Nelson Mandela, meaning “troublemaker” and reflecting his cultural origins.
  • D. Biloela
    Biloela is a rural town in Queensland, Australia, known as an agricultural and administrative centre for the surrounding Central Queensland region.
  • E. Lahndi
    Lahndi is an Indo-Aryan language (or group of dialects) spoken primarily in western parts of Pakistan, often considered a dialect continuum between Punjabi and Sindhi.
  • 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_69c0087cd3c48190b459848c72d84eb1 completed March 22, 2026, 3:19 p.m.
NER Named-entity recognition batch_69c05a9a02888190ac201acd14c3fc31 completed March 22, 2026, 9:09 p.m.
NED1 Entity disambiguation (via context triple) batch_69c1358d0e18819084e2acb9e75271b4 completed March 23, 2026, 12:43 p.m.
Created at: March 22, 2026, 4:13 p.m.