Triple

T2454867
Position Surface form Disambiguated ID Type / Status
Subject 枚方市 E54395 entity
Predicate 隣接自治体 P33892 FINISHED
Object 大阪市 E486 NE FINISHED

How this triple was built (3 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: 大阪市 | Statement: [枚方市, 隣接自治体, 大阪市]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: 大阪市
Context triple: [枚方市, 隣接自治体, 大阪市]
  • A. Osaka chosen
    Osaka is Japan's third-largest city and a major economic, cultural, and historical hub known for its vibrant street food, bustling nightlife, and role as a commercial center in the Kansai region.
  • B. Suita, Osaka
    Suita, Osaka is a city in northern Osaka Prefecture, Japan, known as a major suburban and educational hub that hosts the main campus of Osaka University.
  • C. Higashiōsaka
    Higashiōsaka is an industrial and residential city in Japan known for its manufacturing base and location within the Osaka metropolitan area.
  • D. Nagoya
    Nagoya is a major industrial and commercial city in central Japan, known as a manufacturing hub and the capital of Aichi Prefecture.
  • E. Osaka and Kyoto
    Osaka and Kyoto are two major cities in Japan’s Kansai region, renowned respectively for modern urban culture and historic temples, shrines, and traditional architecture.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: 隣接自治体
Context triple: [枚方市, 隣接自治体, 大阪市]
  • A. neighbouringMunicipality chosen
    Indicates that one municipality directly borders and is adjacent to another municipality.
  • B. neighboringRegion
    Indicates that two regions share a common boundary or are directly adjacent to each other geographically.
  • C. belongsToIntercommunality
    Indicates that an entity is a member of, or administratively attached to, a specific intercommunal structure or grouping.
  • D. neighboringAppellation
    Indicates that two appellations (e.g., designated geographic areas) share a common boundary or are directly adjacent to each other.
  • E. adjacentToCounty
    Indicates that one county directly borders or touches another county geographically.
  • F. None of above.

Provenance (4 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_69ab49dee84c819096b50a0049c347ac completed March 6, 2026, 9:40 p.m.
NER Named-entity recognition batch_69abd2bc7b5481908b3664495e99f1a4 completed March 7, 2026, 7:24 a.m.
NED1 Entity disambiguation (via context triple) batch_69b51c5602f081908dba5df679ca9733 completed March 14, 2026, 8:29 a.m.
PD Predicate disambiguation batch_69abd0aed2688190a18fe66b98d80e0b completed March 7, 2026, 7:15 a.m.
Created at: March 6, 2026, 9:44 p.m.