Triple

T9048289
Position Surface form Disambiguated ID Type / Status
Subject 伊丹市 E216813 entity
Predicate borderWith P224 FINISHED
Object 大阪府豊中市
大阪府豊中市は、大阪府北部に位置し、大阪国際空港（伊丹空港）を抱える住宅都市・文教都市として知られる市です。
 E774459 NE FINISHED

How this triple was built (4 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: 大阪府豊中市 | Statement: [伊丹市, borderWith, 大阪府豊中市]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: 大阪府豊中市
Context triple: [伊丹市, borderWith, 大阪府豊中市]
  • A. Abeno-ku, Osaka
    Abeno-ku, Osaka is a central ward of Osaka City known for its major commercial and transportation hub around Tennoji and Abeno Harukas, one of Japan’s tallest skyscrapers.
  • B. Ikuno-ku, Osaka
    Ikuno-ku, Osaka is a residential ward in Osaka City known for its significant Korean community, dense urban neighborhoods, and convenient access to central Osaka via multiple rail and metro lines.
  • C. Konohana-ku, Osaka
    Konohana-ku, Osaka is a ward of Osaka City in Japan known for hosting major attractions like Universal Studios Japan and its themed entertainment areas.
  • D. Jōtō-ku, Osaka
    Jōtō-ku, Osaka is a residential and commercial ward in northeastern Osaka City known for its dense urban neighborhoods and convenient rail connections to central Osaka.
  • E. Minato-ku, Osaka
    Minato-ku, Osaka is a coastal ward of Osaka City known for its waterfront attractions, including major entertainment, shopping, and port facilities.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: 大阪府豊中市
Triple: [伊丹市, borderWith, 大阪府豊中市]
Generated description
大阪府豊中市は、大阪府北部に位置し、大阪国際空港（伊丹空港）を抱える住宅都市・文教都市として知られる市です。
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: 大阪府豊中市
Target entity description: 大阪府豊中市は、大阪府北部に位置し、大阪国際空港（伊丹空港）を抱える住宅都市・文教都市として知られる市です。
  • A. Abeno-ku, Osaka
    Abeno-ku, Osaka is a central ward of Osaka City known for its major commercial and transportation hub around Tennoji and Abeno Harukas, one of Japan’s tallest skyscrapers.
  • B. Ikuno-ku, Osaka
    Ikuno-ku, Osaka is a residential ward in Osaka City known for its significant Korean community, dense urban neighborhoods, and convenient access to central Osaka via multiple rail and metro lines.
  • C. Konohana-ku, Osaka
    Konohana-ku, Osaka is a ward of Osaka City in Japan known for hosting major attractions like Universal Studios Japan and its themed entertainment areas.
  • D. Jōtō-ku, Osaka
    Jōtō-ku, Osaka is a residential and commercial ward in northeastern Osaka City known for its dense urban neighborhoods and convenient rail connections to central Osaka.
  • E. Minato-ku, Osaka
    Minato-ku, Osaka is a coastal ward of Osaka City known for its waterfront attractions, including major entertainment, shopping, and port facilities.
  • F. None of above. chosen

Provenance (5 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_69ca83d362e88190ae44b4e4dc194209 completed March 30, 2026, 2:08 p.m.
NER Named-entity recognition batch_69cc6b51aa708190a37feecfd8deed2f completed April 1, 2026, 12:48 a.m.
NED1 Entity disambiguation (via context triple) batch_69cfebc0fd648190b0dd6cf62605b98f completed April 3, 2026, 4:33 p.m.
NEDg Description generation batch_69cfed4fb6cc8190bb97345dd392b25b completed April 3, 2026, 4:39 p.m.
NED2 Entity disambiguation (via description) batch_69cfedf299908190852cc627fd7134b9 completed April 3, 2026, 4:42 p.m.
Created at: March 30, 2026, 7:09 p.m.