Triple

T493633
Position Surface form Disambiguated ID Type / Status
Subject JST E10241 entity
Predicate usedByCity P4810 FINISHED
Object Takamatsu
Takamatsu is a coastal city in Japan’s Kagawa Prefecture on the island of Shikoku, known as a regional transport hub and gateway to the Seto Inland Sea.
 E210953 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: Takamatsu | Statement: [JST, usedByCity, Takamatsu]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Takamatsu
Context triple: [JST, usedByCity, Takamatsu]
  • A. Okayama
    Okayama is a major city in western Japan known for its historic Okayama Castle, the celebrated Korakuen Garden, and its role as a regional transportation and cultural hub.
  • B. Kitakyushu
    Kitakyushu is a major industrial and port city located in Fukuoka Prefecture on Japan’s Kyushu island.
  • C. Kumamoto
    Kumamoto is a major city on Japan’s Kyushu island, known for its historic Kumamoto Castle and role as the capital of Kumamoto Prefecture.
  • D. Amagasaki
    Amagasaki is an industrial city in Japan’s Hyōgo Prefecture, situated in the Kansai region between Osaka and Kobe.
  • E. Nishinomiya
    Nishinomiya is a city in Japan’s Hyōgo Prefecture, located between Osaka and Kobe, known for its Koshien Stadium and strong baseball culture.
  • 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: Takamatsu
Triple: [JST, usedByCity, Takamatsu]
Generated description
Takamatsu is a coastal city in Japan’s Kagawa Prefecture on the island of Shikoku, known as a regional transport hub and gateway to the Seto Inland Sea.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Takamatsu
Target entity description: Takamatsu is a coastal city in Japan’s Kagawa Prefecture on the island of Shikoku, known as a regional transport hub and gateway to the Seto Inland Sea.
  • A. Okayama
    Okayama is a major city in western Japan known for its historic Okayama Castle, the celebrated Korakuen Garden, and its role as a regional transportation and cultural hub.
  • B. Kitakyushu
    Kitakyushu is a major industrial and port city located in Fukuoka Prefecture on Japan’s Kyushu island.
  • C. Kumamoto
    Kumamoto is a major city on Japan’s Kyushu island, known for its historic Kumamoto Castle and role as the capital of Kumamoto Prefecture.
  • D. Amagasaki
    Amagasaki is an industrial city in Japan’s Hyōgo Prefecture, situated in the Kansai region between Osaka and Kobe.
  • E. Nishinomiya
    Nishinomiya is a city in Japan’s Hyōgo Prefecture, located between Osaka and Kobe, known for its Koshien Stadium and strong baseball culture.
  • 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_69a2e847df8481909239ec08ccf1e376 completed Feb. 28, 2026, 1:06 p.m.
NER Named-entity recognition batch_69a2f0fbfa408190aeb3b93996a35c00 completed Feb. 28, 2026, 1:43 p.m.
NED1 Entity disambiguation (via context triple) batch_69adeaaaad508190992c7b50e9397450 completed March 8, 2026, 9:31 p.m.
NEDg Description generation batch_69adeb1ee4648190afd50782988b115c completed March 8, 2026, 9:33 p.m.
NED2 Entity disambiguation (via description) batch_69adeb9f28dc8190a0493a72153c60e6 completed March 8, 2026, 9:35 p.m.
Created at: Feb. 28, 2026, 1:12 p.m.