Triple

T38234
Position Surface form Disambiguated ID Type / Status
Subject Osaka Prefecture E757 entity
Predicate hasMajorCity P316 FINISHED
Object Sakai
Sakai is a major Japanese city in Osaka Prefecture known historically as a prosperous port and merchant center and today as an important industrial and cultural hub.
E8407 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: Sakai | Statement: [Osaka Prefecture, hasMajorCity, Sakai]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sakai
Context triple: [Osaka Prefecture, hasMajorCity, Sakai]
  • A. Namba
    Namba is a major commercial and entertainment district in Osaka, Japan, known for its bustling nightlife, shopping, and iconic neon-lit streets.
  • B. Marquette
    Marquette is a city in Michigan’s Upper Peninsula known as a key shipping and commercial hub on the southern shore of Lake Superior.
  • C. Kobe
    Kobe is a major port city in Japan’s Kansai region, known for its scenic harbor setting, cosmopolitan atmosphere, and famous Kobe beef.
  • D. SJC
    SJC is the abbreviation commonly used for the Massachusetts Supreme Judicial Court, the highest appellate court in the Commonwealth of Massachusetts.
  • E. B Reactor
    B Reactor is the world’s first full-scale plutonium production reactor, built during the Manhattan Project at the Hanford Site in Washington State.
  • 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: Sakai
Triple: [Osaka Prefecture, hasMajorCity, Sakai]
Generated description
Sakai is a major Japanese city in Osaka Prefecture known historically as a prosperous port and merchant center and today as an important industrial and cultural hub.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Sakai
Target entity description: Sakai is a major Japanese city in Osaka Prefecture known historically as a prosperous port and merchant center and today as an important industrial and cultural hub.
  • A. Namba
    Namba is a major commercial and entertainment district in Osaka, Japan, known for its bustling nightlife, shopping, and iconic neon-lit streets.
  • B. Marquette
    Marquette is a city in Michigan’s Upper Peninsula known as a key shipping and commercial hub on the southern shore of Lake Superior.
  • C. Kobe
    Kobe is a major port city in Japan’s Kansai region, known for its scenic harbor setting, cosmopolitan atmosphere, and famous Kobe beef.
  • D. Kutaisi
    Kutaisi is one of Georgia’s major cities, historically significant and formerly a capital, located in the western part of the country.
  • E. SJC
    SJC is the abbreviation commonly used for the Massachusetts Supreme Judicial Court, the highest appellate court in the Commonwealth of Massachusetts.
  • 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_69a247a8f6c08190bac804906d62ed5a completed Feb. 28, 2026, 1:40 a.m.
NER Named-entity recognition batch_69a24acd14b48190b80d4329621583df completed Feb. 28, 2026, 1:54 a.m.
NED1 Entity disambiguation (via context triple) batch_69a2623b6bb881909bcafff1aeb536e4 completed Feb. 28, 2026, 3:34 a.m.
NEDg Description generation batch_69a263865a9c81909fc29ddebe967035 completed Feb. 28, 2026, 3:39 a.m.
NED2 Entity disambiguation (via description) batch_69a2644c9b8c8190a0da41b3e1e1dd47 completed Feb. 28, 2026, 3:43 a.m.
Created at: Feb. 28, 2026, 1:46 a.m.