Triple

T6869060
Position Surface form Disambiguated ID Type / Status
Subject Soraku District E158490 entity
Predicate formerSettlement P54403 FINISHED
Object Kizu
Kizu was a former town in Japan’s Kyoto Prefecture that was once part of Soraku District before being merged into a larger municipality.
 E667138 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: Kizu | Statement: [Soraku District, formerSettlement, Kizu]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Kizu
Context triple: [Soraku District, formerSettlement, Kizu]
  • A. Miyazu
    Miyazu is a coastal city in northern Kyoto Prefecture, Japan, best known as the gateway to the scenic sandbar Amanohashidate, one of Japan’s traditional “Three Views.”
  • B. Kumaiwa
    Kumaiwa is a small settlement located on Butaritari Atoll in the island nation of Kiribati in the central Pacific Ocean.
  • C. Chikushino
    Chikushino is a city in southwestern Japan known as a residential and commercial hub within the Fukuoka metropolitan area.
  • D. Karasuwa
    Karasuwa is a local government area in northeastern Nigeria known for its predominantly rural communities and agricultural activities within Yobe State.
  • E. Shimotsuki
    Shimotsuki was a Japanese destroyer of the Imperial Japanese Navy that served in World War II before being sunk in late 1944.
  • 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: Kizu
Triple: [Soraku District, formerSettlement, Kizu]
Generated description
Kizu was a former town in Japan’s Kyoto Prefecture that was once part of Soraku District before being merged into a larger municipality.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Kizu
Target entity description: Kizu was a former town in Japan’s Kyoto Prefecture that was once part of Soraku District before being merged into a larger municipality.
  • A. Miyazu
    Miyazu is a coastal city in northern Kyoto Prefecture, Japan, best known as the gateway to the scenic sandbar Amanohashidate, one of Japan’s traditional “Three Views.”
  • B. Kumaiwa
    Kumaiwa is a small settlement located on Butaritari Atoll in the island nation of Kiribati in the central Pacific Ocean.
  • C. Chikushino
    Chikushino is a city in southwestern Japan known as a residential and commercial hub within the Fukuoka metropolitan area.
  • D. Karasuwa
    Karasuwa is a local government area in northeastern Nigeria known for its predominantly rural communities and agricultural activities within Yobe State.
  • E. Shimotsuki
    Shimotsuki was a Japanese destroyer of the Imperial Japanese Navy that served in World War II before being sunk in late 1944.
  • 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_69c68831e3648190a643c328122e4d43 completed March 27, 2026, 1:37 p.m.
NER Named-entity recognition batch_69c6d8a916a88190b81551731dff2898 completed March 27, 2026, 7:21 p.m.
NED1 Entity disambiguation (via context triple) batch_69c8341cd2088190835992e0635d1b4e completed March 28, 2026, 8:03 p.m.
NEDg Description generation batch_69c835ce5bbc8190b968535c16cfc660 completed March 28, 2026, 8:10 p.m.
NED2 Entity disambiguation (via description) batch_69c836a80eb081908b9937944fe18661 completed March 28, 2026, 8:14 p.m.
Created at: March 27, 2026, 2:22 p.m.