Triple

T17914499
Position Surface form Disambiguated ID Type / Status
Subject Kalkan E447890 entity
Predicate nearbyAttraction P3449 FINISHED
Object Letoon 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: Letoon | Statement: [Kalkan, nearbyAttraction, Letoon]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Letoon
Context triple: [Kalkan, nearbyAttraction, Letoon]
  • A. Letoon chosen
    Letoon is an ancient religious sanctuary in Lycia, Turkey, dedicated primarily to the goddess Leto and her children Apollo and Artemis, and is part of a UNESCO World Heritage archaeological site.
  • B. Togninia
    Togninia is a genus of fungi known for its ascomycetous species, some of which are associated with plant diseases.
  • C. Leunovo
    Leunovo is a small village located in the mountainous Mavrovo region of North Macedonia, known for its natural scenery and proximity to Mavrovo National Park.
  • D. Leueen
    Leueen is a feminine given name most notably associated with the British actress and playwright Leueen MacGrath.
  • E. Toive
    Toive is a Finnish given name, notably borne by Toive Torvalds.
  • 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_69d8b9f6d394819082a6d69fd1e23d2f completed April 10, 2026, 8:51 a.m.
NER Named-entity recognition batch_69e4a30461848190b932a45807329216 completed April 19, 2026, 9:40 a.m.
Created at: April 10, 2026, 10:20 a.m.