Triple

T17294751
Position Surface form Disambiguated ID Type / Status
Subject JR Kishibe Station E419876 entity
Predicate serves P98 FINISHED
Object Suita 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: Suita | Statement: [JR Kishibe Station, serves, Suita]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Suita
Context triple: [JR Kishibe Station, serves, Suita]
  • A. Suita chosen
    Suita is a city in northern Osaka Prefecture, Japan, known as a residential and commercial hub that hosted part of Expo '70 and is home to Osaka University’s main campus.
  • B. Saiki
    Saiki is a coastal city in southern Ōita Prefecture, Japan, known for its fishing industry and scenic seaside landscapes.
  • C. Maizuru
    Maizuru is a coastal city in northern Kyoto Prefecture, Japan, known for its natural harbor, former naval base, and role as a key repatriation port after World War II.
  • D. Shiodome
    Shiodome is a modern high-rise business and commercial district in Tokyo, Japan, known for housing major corporate headquarters, upscale hotels, and shopping complexes.
  • E. Inuyama
    Inuyama is a historic Japanese city in Aichi Prefecture best known for Inuyama Castle, one of Japan’s oldest surviving wooden castles, and its traditional cormorant fishing on the Kiso River.
  • 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_69d886db32608190a61e18862c5a8af6 completed April 10, 2026, 5:12 a.m.
NER Named-entity recognition batch_69e437869ec08190b4a63fb1ee6a71ee completed April 19, 2026, 2:01 a.m.
Created at: April 10, 2026, 5:40 a.m.