Triple

T6116970
Position Surface form Disambiguated ID Type / Status
Subject Kizugawa E136382 entity
Predicate borderedBy P224 FINISHED
Object Seika
Seika is a town in Kyoto Prefecture, Japan, known for its residential communities and proximity to the Kansai Science City area.
 E568908 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: Seika | Statement: [Kizugawa, borderedBy, Seika]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Seika
Context triple: [Kizugawa, borderedBy, Seika]
  • A. Jōkō
    Jōkō is the Japanese honorific title traditionally given to a retired emperor who has abdicated the throne.
  • B. Shōhō
    Shōhō was a Japanese era name (nengō) of the early Edo period, used for a brief span in the mid-17th century.
  • C. Shōhō
    Shōhō was a Japanese light aircraft carrier of the Imperial Japanese Navy during World War II, notable for being the first Japanese carrier sunk in the war during the Battle of the Coral Sea.
  • D. Nagako
    Nagako, better known as Empress Kōjun, was the long-serving consort of Emperor Shōwa (Hirohito) and the mother of Emperor Emeritus Akihito of Japan.
  • E. Enyō
    Enyō is a minor Greek goddess associated with war, destruction, and the bloody chaos of battle, often depicted as a companion of Ares.
  • 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: Seika
Triple: [Kizugawa, borderedBy, Seika]
Generated description
Seika is a town in Kyoto Prefecture, Japan, known for its residential communities and proximity to the Kansai Science City area.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Seika
Target entity description: Seika is a town in Kyoto Prefecture, Japan, known for its residential communities and proximity to the Kansai Science City area.
  • A. Jōkō
    Jōkō is the Japanese honorific title traditionally given to a retired emperor who has abdicated the throne.
  • B. Shōhō
    Shōhō was a Japanese era name (nengō) of the early Edo period, used for a brief span in the mid-17th century.
  • C. Shōhō
    Shōhō was a Japanese light aircraft carrier of the Imperial Japanese Navy during World War II, notable for being the first Japanese carrier sunk in the war during the Battle of the Coral Sea.
  • D. Nagako
    Nagako, better known as Empress Kōjun, was the long-serving consort of Emperor Shōwa (Hirohito) and the mother of Emperor Emeritus Akihito of Japan.
  • E. Enyō
    Enyō is a minor Greek goddess associated with war, destruction, and the bloody chaos of battle, often depicted as a companion of Ares.
  • 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_69c0089f851c81909e5e189a617dcff6 completed March 22, 2026, 3:19 p.m.
NER Named-entity recognition batch_69c05beb4cfc8190ab67a5338ec59cea completed March 22, 2026, 9:15 p.m.
NED1 Entity disambiguation (via context triple) batch_69c1256ddb38819095f582b6468db407 completed March 23, 2026, 11:35 a.m.
NEDg Description generation batch_69c125ede4f88190989a5a40accd2745 completed March 23, 2026, 11:37 a.m.
NED2 Entity disambiguation (via description) batch_69c1268ffc7481909a9bd2be039dbf45 completed March 23, 2026, 11:40 a.m.
Created at: March 22, 2026, 4:14 p.m.