Triple

T16721010
Position Surface form Disambiguated ID Type / Status
Subject Rhodes regional unit E406347 entity
Predicate contains P35 FINISHED
Object Tilos E121402 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: Tilos | Statement: [Rhodes regional unit, contains, Tilos]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tilos
Context triple: [Rhodes regional unit, contains, 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 (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_69d8838f242881908abd8bc138795886 completed April 10, 2026, 4:58 a.m.
NER Named-entity recognition batch_69e38743750c81908a980372ad8f1a6a completed April 18, 2026, 1:29 p.m.
NED1 Entity disambiguation (via context triple) batch_6a009d41cb6c8190bfa164ad20f009d9 completed May 10, 2026, 2:59 p.m.
Created at: April 10, 2026, 5:20 a.m.