Triple

T22695120
Position Surface form Disambiguated ID Type / Status
Subject ND280 E561154 entity
Predicate locatedNear P294 FINISHED
Object Tokai 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: Tokai | Statement: [ND280, locatedNear, Tokai]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tokai
Context triple: [ND280, locatedNear, Tokai]
  • A. Tokai
    Tokai is a suburb in Cape Town, South Africa, known for its residential areas, green spaces, and proximity to the Constantiaberg mountains.
  • B. Tokai chosen
    Tokai is a city in Aichi Prefecture, Japan, known for its industrial base and proximity to the Nagoya metropolitan area.
  • C. Daidō
    Daidō was a Japanese era name (nengō) from the early Heian period, used during the reign of Emperor Kanmu.
  • D. Daidō
    Daidō was a Japanese era name (nengō) of the early 9th century, used during the reign of Emperor Saga.
  • E. Daito
    Daito is a skilled Japanese gunter and close ally of Aech in Ernest Cline’s science fiction novel "Ready Player One."
  • 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_69e2454e615481909c177440be559d2c completed April 17, 2026, 2:35 p.m.
NER Named-entity recognition batch_69f1789d46c881908176bc8e26f366f6 completed April 29, 2026, 3:18 a.m.
Created at: April 17, 2026, 3:14 p.m.