Triple

T20616350
Position Surface form Disambiguated ID Type / Status
Subject Belfry of Lo E506577 entity
Predicate locatedIn P40 FINISHED
Object Lo — 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: Lo | Statement: [Belfry of Lo, locatedIn, Lo]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Lo
Context triple: [Belfry of Lo, locatedIn, 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 a short form of the Dutch given name Lodewijk, commonly used as an informal or affectionate nickname.
  • C. Lo
    Lo is a nickname for Lolita, most famously associated with the provocative young heroine of Vladimir Nabokov’s novel "Lolita."
  • D. LO
    LO is Norway’s largest and most influential trade union confederation, representing a broad spectrum of workers across multiple sectors.
  • E. 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.
  • 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_69e0b4bc90988190ac360aaf645efc1d completed April 16, 2026, 10:06 a.m.
NER Named-entity recognition batch_69e6aadbb3ac81908145f57fd6a94256 completed April 20, 2026, 10:38 p.m.
Created at: April 16, 2026, 11:41 a.m.