Triple

T18695868
Position Surface form Disambiguated ID Type / Status
Subject Ithaca E457112 entity
Predicate hasSettlement P1068 FINISHED
Object Kioni 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: Kioni | Statement: [Ithaca, hasSettlement, Kioni]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kioni
Context triple: [Ithaca, hasSettlement, Kioni]
  • A. Kioni chosen
    Kioni is a picturesque seaside village on the Greek island of Ithaca, known for its traditional architecture and scenic harbor.
  • B. Koni
    Koni is a diminutive form of the given name Konrad, typically used as an affectionate nickname.
  • C. Kiso
    Kiso is a town in Nagano Prefecture, Japan, known for its scenic Kiso Valley, traditional post towns on the old Nakasendō route, and proximity to Mount Ontake.
  • D. Kinnim
    Kinnim is a tractate of the Mishnah that deals with the laws of bird offerings and the complications arising from their possible mix-ups.
  • E. Käina
    Käina is a small settlement on the Estonian island of Hiiumaa, known for its coastal landscapes and traditional rural character.
  • 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_69d8d391eb488190ac2e9abf5bf255e4 completed April 10, 2026, 10:40 a.m.
NER Named-entity recognition batch_69e562e775408190996b4c613b83f185 completed April 19, 2026, 11:19 p.m.
Created at: April 10, 2026, 11:49 a.m.