Triple

T9975853
Position Surface form Disambiguated ID Type / Status
Subject Tatsuno E196324 entity
Predicate hasNeighboringMunicipality P224 FINISHED
Object Aioi E622937 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: Aioi | Statement: [Tatsuno, hasNeighboringMunicipality, Aioi]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Aioi
Context triple: [Tatsuno, hasNeighboringMunicipality, Aioi]
  • A. Aioi chosen
    Aioi is a city in Hyōgo Prefecture, Japan, known for its coastal location along the Seto Inland Sea and its traditional fishing and maritime industries.
  • B. Isehara
    Isehara is a city in Kanagawa Prefecture, Japan, known as a residential and industrial area with access to nearby natural attractions such as the Tanzawa Mountains.
  • C. Inazawa
    Inazawa is a city in central Japan known for its agricultural production and historic shrines, located within Aichi Prefecture.
  • D. Chitose
    Chitose was a Japanese warship of the Imperial Japanese Navy, originally built as a seaplane tender and later converted into a light aircraft carrier that was sunk in World War II.
  • E. Chitose
    Chitose is a city in Hokkaido, Japan, known as the gateway to the region through New Chitose Airport and for its proximity to Lake Shikotsu and surrounding natural scenery.
  • 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_69ca82eea2b88190a0e511d21a31f386 completed March 30, 2026, 2:04 p.m.
NER Named-entity recognition batch_69cdb84b47308190aa2f94fa7320cdc3 completed April 2, 2026, 12:28 a.m.
NED1 Entity disambiguation (via context triple) batch_69f2802d74f081909c7af34bf266ae01 completed April 29, 2026, 10:03 p.m.
Created at: March 30, 2026, 8:48 p.m.