Triple

T7844899
Position Surface form Disambiguated ID Type / Status
Subject National Route 254 E181898 entity
Predicate connectsCity P4245 FINISHED
Object Ueda E639572 NE FINISHED

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: Ueda | Statement: [National Route 254, connectsCity, Ueda]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ueda
Context triple: [National Route 254, connectsCity, Ueda]
  • A. Ueda
    Ueda is a historic city in Nagano Prefecture, Japan, known for Ueda Castle, samurai heritage, and its scenic riverside setting.
  • B. 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.
  • C. Higashikawa
    Higashikawa is a town in Hokkaido, Japan, known as a gateway to the Daisetsuzan mountain range and for its scenic natural landscapes.
  • D. Ueda City chosen
    Ueda City is a historic regional center in eastern Nagano Prefecture, Japan, known for Ueda Castle, samurai heritage, and its surrounding mountainous scenery.
  • E. Tatsuno
    Tatsuno is a city in western Japan known for its traditional soy sauce production and historic townscape within Hyogo Prefecture.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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_69ca8285d6488190a95d4c02d7354b53 completed March 30, 2026, 2:02 p.m.
NER Named-entity recognition batch_69cb163d92fc8190a4efcb08d6b3d404 completed March 31, 2026, 12:33 a.m.
NED1 Entity disambiguation (via context triple) batch_69e3e686db808190a2aa975a20e69696 completed April 18, 2026, 8:16 p.m.
Created at: March 30, 2026, 4:48 p.m.