Triple

T7417209
Position Surface form Disambiguated ID Type / Status
Subject Neyagawa E171159 entity
Predicate borderedBy P224 FINISHED
Object Katano
Katano is a city in Osaka Prefecture, Japan, known for its residential suburbs and proximity to the Osaka metropolitan area.
 E664053 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: Katano | Statement: [Neyagawa, borderedBy, Katano]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Katano
Context triple: [Neyagawa, borderedBy, Katano]
  • A. Katsuragi
    Katsuragi is a city in Japan known for its location in Nara Prefecture and its historical and cultural ties to the ancient Yamato region.
  • B. Katsuragi
    Katsuragi was a late-war Imperial Japanese Navy aircraft carrier that served in the Pacific Theater during World War II.
  • C. Naikaku
    Naikaku is the Japanese term for the Cabinet, the executive branch of Japan’s national government headed by the Prime Minister.
  • D. Kutama
    Kutama is a rural village in the Zvimba District of northern Zimbabwe, known primarily as the birthplace of former president Robert Mugabe.
  • E. Katane
    Katane is the ancient name of the city now known as Catania, located on the eastern coast of Sicily, Italy.
  • 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: Katano
Triple: [Neyagawa, borderedBy, Katano]
Generated description
Katano is a city in Osaka Prefecture, Japan, known for its residential suburbs and proximity to the Osaka metropolitan area.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Katano
Target entity description: Katano is a city in Osaka Prefecture, Japan, known for its residential suburbs and proximity to the Osaka metropolitan area.
  • A. Katsuragi
    Katsuragi is a city in Japan known for its location in Nara Prefecture and its historical and cultural ties to the ancient Yamato region.
  • B. Katsuragi
    Katsuragi was a late-war Imperial Japanese Navy aircraft carrier that served in the Pacific Theater during World War II.
  • C. Naikaku
    Naikaku is the Japanese term for the Cabinet, the executive branch of Japan’s national government headed by the Prime Minister.
  • D. Kutama
    Kutama is a rural village in the Zvimba District of northern Zimbabwe, known primarily as the birthplace of former president Robert Mugabe.
  • E. Katane
    Katane is the ancient name of the city now known as Catania, located on the eastern coast of Sicily, Italy.
  • 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_69c68a618bdc81908d8018edadecd1a4 completed March 27, 2026, 1:47 p.m.
NER Named-entity recognition batch_69c6f2c7ae0c8190a8348d6223aeeecc completed March 27, 2026, 9:12 p.m.
NED1 Entity disambiguation (via context triple) batch_69c81eed92888190bf9d11ab91378fa9 completed March 28, 2026, 6:33 p.m.
NEDg Description generation batch_69c820cc51d0819083e5a939f9101f92 completed March 28, 2026, 6:41 p.m.
NED2 Entity disambiguation (via description) batch_69c8230e2b3481909a6460a38be2a478 completed March 28, 2026, 6:50 p.m.
Created at: March 27, 2026, 3:11 p.m.