Triple

T21050430
Position Surface form Disambiguated ID Type / Status
Subject Livadia (Tilos) E518564 entity
Predicate locatedIn P40 FINISHED
Object Tilos 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: Tilos | Statement: [Livadia (Tilos), locatedIn, Tilos]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tilos
Context triple: [Livadia (Tilos), locatedIn, Tilos]
  • A. Tilos chosen
    Tilos is a small Greek island in the southeastern Aegean Sea, known for its unspoiled nature, rich biodiversity, and tranquil, less-touristed atmosphere.
  • B. Tilaurakot
    Tilaurakot is an ancient archaeological site in Nepal widely regarded as the probable location of Kapilavastu, the childhood home of Siddhartha Gautama (the Buddha).
  • C. Tiler
    Tiler is the first name of Tiler Peck, a renowned American ballet dancer and principal with the New York City Ballet.
  • D. Tilpa
    Tilpa is a tiny, remote village on the Darling River in outback New South Wales, Australia, known for its historic pub and role as a stopover for travelers and river communities.
  • E. Tilo
    Tilo is a central, enigmatic figure in Arundhati Roy’s novel "The Ministry of Utmost Happiness," whose complex personal history and relationships anchor much of the book’s emotional and political narrative.
  • 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_69e0b5053ac48190921529544959e906 completed April 16, 2026, 10:08 a.m.
NER Named-entity recognition batch_69e6fd7a5cf48190939aefaa44db1ddb completed April 21, 2026, 4:30 a.m.
Created at: April 16, 2026, 2:35 p.m.