Triple

T10546769
Position Surface form Disambiguated ID Type / Status
Subject Akita Prefecture E248838 entity
Predicate hasCity P316 FINISHED
Object Kitaakita
Kitaakita is a city in northern Japan known for its mountainous landscapes, hot springs, and traditional festivals within Akita Prefecture.
 E870038 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: Kitaakita | Statement: [Akita Prefecture, hasCity, Kitaakita]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Kitaakita
Context triple: [Akita Prefecture, hasCity, Kitaakita]
  • A. Bikita
    Bikita is a rural district and settlement in southeastern Zimbabwe known for its lithium-rich mineral deposits and agricultural communities.
  • B. Kagawong
    Kagawong is a small picturesque community on Manitoulin Island in Ontario, Canada, known for its scenic Bridal Veil Falls and lakeside charm.
  • C. Kabugao
    Kabugao is a dialect of the Isnag language spoken by indigenous communities in the northern Philippines.
  • D. Surigaonon
    Surigaonon is a Visayan language spoken primarily in the Caraga region of northeastern Mindanao in the Philippines.
  • E. Kalamansig
    Kalamansig is a coastal municipality in the province of Sultan Kudarat in the Philippines, known for its fishing industry and diverse indigenous communities.
  • 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: Kitaakita
Triple: [Akita Prefecture, hasCity, Kitaakita]
Generated description
Kitaakita is a city in northern Japan known for its mountainous landscapes, hot springs, and traditional festivals within Akita Prefecture.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Kitaakita
Target entity description: Kitaakita is a city in northern Japan known for its mountainous landscapes, hot springs, and traditional festivals within Akita Prefecture.
  • A. Bikita
    Bikita is a rural district and settlement in southeastern Zimbabwe known for its lithium-rich mineral deposits and agricultural communities.
  • B. Kagawong
    Kagawong is a small picturesque community on Manitoulin Island in Ontario, Canada, known for its scenic Bridal Veil Falls and lakeside charm.
  • C. Kabugao
    Kabugao is a dialect of the Isnag language spoken by indigenous communities in the northern Philippines.
  • D. Surigaonon
    Surigaonon is a Visayan language spoken primarily in the Caraga region of northeastern Mindanao in the Philippines.
  • E. Kalamansig
    Kalamansig is a coastal municipality in the province of Sultan Kudarat in the Philippines, known for its fishing industry and diverse indigenous communities.
  • 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_69d381c733c08190ab1dd6239f5f34ae completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d526d20ef48190ab9f70d4ce5f2a11 completed April 7, 2026, 3:46 p.m.
NED1 Entity disambiguation (via context triple) batch_69d9344a53fc81909765061d07d0cd20 completed April 10, 2026, 5:32 p.m.
NEDg Description generation batch_69d938c8b25c8190bb048053d8668e5c completed April 10, 2026, 5:52 p.m.
NED2 Entity disambiguation (via description) batch_69d939b1844881908c8fbcb9488863f6 completed April 10, 2026, 5:56 p.m.
Created at: April 6, 2026, 12:33 p.m.