Triple

T14437603
Position Surface form Disambiguated ID Type / Status
Subject Tsukuba Express E358003 entity
Predicate servesCity P82 FINISHED
Object Kashiwa 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: Kashiwa | Statement: [Tsukuba Express, servesCity, Kashiwa]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kashiwa
Context triple: [Tsukuba Express, servesCity, Kashiwa]
  • A. Kashiwa chosen
    Kashiwa is a city in Chiba Prefecture, Japan, known as a residential and commercial hub within the Greater Tokyo metropolitan area.
  • B. Yukuhashi
    Yukuhashi is a city in eastern Fukuoka Prefecture, Japan, known as a regional commercial and transportation hub on Kyushu.
  • C. Ichijō
    Ichijō is a Japanese surname historically associated with an aristocratic kuge family of the Fujiwara clan and borne by various notable figures in Japanese history and culture.
  • D. Yamakoshi
    Yamakoshi is a recurring character from the Disney XD sitcom "Pair of Kings," known as a mystical fish with prophetic abilities and a quirky, comedic presence.
  • E. Niihama
    Niihama is an industrial city in western Japan known for its copper mining history and location along the Seto Inland Sea in Ehime Prefecture.
  • 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_69d8279402a88190821ffa39ae15bccf completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69de914a45ec81909ab8ccf302047d7f completed April 14, 2026, 7:11 p.m.
Created at: April 10, 2026, 1:18 a.m.