Triple

T16271553
Position Surface form Disambiguated ID Type / Status
Subject Nakai E395010 entity
Predicate locatedNear P294 FINISHED
Object Hadano 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: Hadano | Statement: [Nakai, locatedNear, Hadano]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Hadano
Context triple: [Nakai, locatedNear, Hadano]
  • A. Hadano chosen
    Hadano is a city in Kanagawa Prefecture, Japan, known for its natural scenery, hiking trails, and proximity to the Tanzawa Mountains.
  • B. Fujinomiya
    Fujinomiya is a city in Shizuoka Prefecture, Japan, known as a major gateway to Mount Fuji and for its scenic views of the iconic volcano.
  • C. Harada
    Harada is a fictional character from the X-Men film universe, depicted as a skilled Japanese warrior and bodyguard in "The Wolverine."
  • D. Shimada
    Shimada is the surname of the fictional Japanese ninja brothers Genji and Hanzo from Blizzard Entertainment's Overwatch franchise.
  • E. Fujieda
    Fujieda is a city in Shizuoka Prefecture, Japan, known as a regional commercial center with a mix of residential areas, agriculture, and light industry.
  • 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_69d87f221d8081909b0b2063e7528ba2 completed April 10, 2026, 4:40 a.m.
NER Named-entity recognition batch_69e2460a4f7c8190a614c11f7eaa0a7a completed April 17, 2026, 2:39 p.m.
Created at: April 10, 2026, 5:05 a.m.