Triple

T13851406
Position Surface form Disambiguated ID Type / Status
Subject Toyokawa Navy Arsenal E332949 entity
Predicate locatedIn P40 FINISHED
Object Toyokawa city 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: Toyokawa city | Statement: [Toyokawa Navy Arsenal, locatedIn, Toyokawa city]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Toyokawa city
Context triple: [Toyokawa Navy Arsenal, locatedIn, Toyokawa city]
  • A. Toyokawa chosen
    Toyokawa is a city in Aichi Prefecture, Japan, known for its historic Toyokawa Inari temple and manufacturing industries.
  • B. Murayama City
    Murayama City is a municipality in northeastern Japan known for its rural landscapes, agriculture, and location within Yamagata Prefecture in the Tōhoku region.
  • C. Tagajō City
    Tagajō City is a coastal municipality in northeastern Japan known for its historic Taga Castle ruins and role as an ancient regional administrative center.
  • D. Kurihara City
    Kurihara City is a municipality in northern Japan known for its rural landscapes, agriculture, and historical sites within Miyagi Prefecture.
  • E. Mishima City
    Mishima City is a historic city in eastern Shizuoka Prefecture, Japan, known for its clear spring waters, views of Mount Fuji, and role as a gateway to the Izu Peninsula.
  • 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_69d81c5ba13c8190839315f54768acfd completed April 9, 2026, 9:38 p.m.
NER Named-entity recognition batch_69de02da9460819093a3ec5a3c62ea81 completed April 14, 2026, 9:03 a.m.
Created at: April 9, 2026, 10:14 p.m.