Triple

T6564764
Position Surface form Disambiguated ID Type / Status
Subject Lo-Toga E153874 entity
Predicate hasAlternativeName P39 FINISHED
Object Lo E603823 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: Lo | Statement: [Lo-Toga, hasAlternativeName, Lo]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Lo
Context triple: [Lo-Toga, hasAlternativeName, Lo]
  • A. Lo chosen
    Lo is a dialect of the Lo-Toga language spoken on the Torres Islands in northern Vanuatu.
  • B. LO
    LO is Norway’s largest and most influential trade union confederation, representing a broad spectrum of workers across multiple sectors.
  • C. LO
    LO was the New York Stock Exchange ticker symbol for Lorillard Tobacco Company, a major American tobacco manufacturer best known for brands like Newport.
  • D. LO
    LO is the regional vehicle registration code assigned to the city of Vanadzor in Armenia.
  • E. Le
    Le is a common Vietnamese surname shared by many notable figures in the country’s history and culture.
  • 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_69c6880cb35881909b763eb0125236b9 completed March 27, 2026, 1:37 p.m.
NER Named-entity recognition batch_69c6ae3b9ec8819080f3052556d95810 completed March 27, 2026, 4:20 p.m.
NED1 Entity disambiguation (via context triple) batch_69c6e42523848190b02682e6a640ac05 completed March 27, 2026, 8:10 p.m.
Created at: March 27, 2026, 1:52 p.m.