Triple

T10014942
Position Surface form Disambiguated ID Type / Status
Subject Aichi Prefecture E199464 entity
Predicate containsCity P294 FINISHED
Object Kanie
Kanie is a small town in central Japan known for its residential communities and proximity to the city of Nagoya in Aichi Prefecture.
 E836261 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: Kanie | Statement: [Aichi Prefecture, containsCity, Kanie]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Kanie
Context triple: [Aichi Prefecture, containsCity, Kanie]
  • A. Kanije
    Kanije is a historic fortress town in present-day southwestern Hungary that was a key strategic stronghold during the Ottoman–Habsburg conflicts.
  • B. Kan
    Kan is a transliteration variant of the title and name "Khan," historically used across Central and South Asia for rulers and nobility.
  • C. Kan
    Kan is the family name of Naoto Kan, a Japanese politician who served as Prime Minister of Japan from 2010 to 2011.
  • D. Kania
    Kania is a surname of Polish origin borne by various notable individuals in fields such as law, politics, and the arts.
  • E. Käina
    Käina is a small settlement on the Estonian island of Hiiumaa, known for its coastal landscapes and traditional rural character.
  • 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: Kanie
Triple: [Aichi Prefecture, containsCity, Kanie]
Generated description
Kanie is a small town in central Japan known for its residential communities and proximity to the city of Nagoya in Aichi Prefecture.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Kanie
Target entity description: Kanie is a small town in central Japan known for its residential communities and proximity to the city of Nagoya in Aichi Prefecture.
  • A. Kanije
    Kanije is a historic fortress town in present-day southwestern Hungary that was a key strategic stronghold during the Ottoman–Habsburg conflicts.
  • B. Kan
    Kan is a transliteration variant of the title and name "Khan," historically used across Central and South Asia for rulers and nobility.
  • C. Kan
    Kan is the family name of Naoto Kan, a Japanese politician who served as Prime Minister of Japan from 2010 to 2011.
  • D. Kania
    Kania is a surname of Polish origin borne by various notable individuals in fields such as law, politics, and the arts.
  • E. Käina
    Käina is a small settlement on the Estonian island of Hiiumaa, known for its coastal landscapes and traditional rural character.
  • 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_69ca8315a1a08190ab310f25620f362b completed March 30, 2026, 2:05 p.m.
NER Named-entity recognition batch_69cdcd49b19c8190b429e3533d072648 completed April 2, 2026, 1:58 a.m.
NED1 Entity disambiguation (via context triple) batch_69d26a8f6f3081909310e28725d31f7e completed April 5, 2026, 1:58 p.m.
NEDg Description generation batch_69d26b84271881909c3a1b8a05e2c8a2 completed April 5, 2026, 2:02 p.m.
NED2 Entity disambiguation (via description) batch_69d26f50dc008190866f0ba45b671560 completed April 5, 2026, 2:18 p.m.
Created at: March 30, 2026, 8:52 p.m.