Triple

T11153728
Position Surface form Disambiguated ID Type / Status
Subject Ehime Prefecture E263850 entity
Predicate hasCity P316 FINISHED
Object Ōzu
Ōzu is a historic castle town in western Shikoku, Japan, known for its preserved traditional streetscape and the reconstructed Ōzu Castle.
 E908466 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: Ōzu | Statement: [Ehime Prefecture, hasCity, Ōzu]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Ōzu
Context triple: [Ehime Prefecture, hasCity, Ōzu]
  • A. Nikkatsu
    Nikkatsu is one of Japan’s oldest and most influential film studios, known for producing a wide range of popular and auteur cinema throughout the 20th century.
  • B. Miyazaki
    Miyazaki is a coastal city on Japan’s Kyushu Island known for its mild climate, beaches, and nearby scenic attractions such as Aoshima Island.
  • C. Miyazaki
    Miyazaki is a residential and commercial district within Nishi Ward of Yokohama, Japan.
  • D. Kinosaki
    Kinosaki is a famous hot spring resort area in Hyōgo Prefecture, Japan, renowned for its historic onsen baths and traditional ryokan inns.
  • E. 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.
  • 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: Ōzu
Triple: [Ehime Prefecture, hasCity, Ōzu]
Generated description
Ōzu is a historic castle town in western Shikoku, Japan, known for its preserved traditional streetscape and the reconstructed Ōzu Castle.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Ōzu
Target entity description: Ōzu is a historic castle town in western Shikoku, Japan, known for its preserved traditional streetscape and the reconstructed Ōzu Castle.
  • A. Nikkatsu
    Nikkatsu is one of Japan’s oldest and most influential film studios, known for producing a wide range of popular and auteur cinema throughout the 20th century.
  • B. Miyazaki
    Miyazaki is a coastal city on Japan’s Kyushu Island known for its mild climate, beaches, and nearby scenic attractions such as Aoshima Island.
  • C. Miyazaki
    Miyazaki is a residential and commercial district within Nishi Ward of Yokohama, Japan.
  • D. Kinosaki
    Kinosaki is a famous hot spring resort area in Hyōgo Prefecture, Japan, renowned for its historic onsen baths and traditional ryokan inns.
  • E. 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.
  • 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_69d6aa9ccddc8190868998c8b7beb060 completed April 8, 2026, 7:21 p.m.
NER Named-entity recognition batch_69d7e872ffbc8190b8a3bbd912115342 completed April 9, 2026, 5:57 p.m.
NED1 Entity disambiguation (via context triple) batch_69e46334125c81909e2807b2c7e573b9 completed April 19, 2026, 5:08 a.m.
NEDg Description generation batch_69e46c3448348190b2c062d21771066d completed April 19, 2026, 5:46 a.m.
NED2 Entity disambiguation (via description) batch_69e46dadbc5c8190b41279a05731dc95 completed April 19, 2026, 5:52 a.m.
Created at: April 8, 2026, 9:28 p.m.