Triple

T16081954
Position Surface form Disambiguated ID Type / Status
Subject Kudan area E390130 entity
Predicate hasSubarea P747 FINISHED
Object Kudan-kita
Kudan-kita is a district in Tokyo’s Chiyoda ward known for its proximity to landmarks such as Yasukuni Shrine and various government and educational institutions.
E643526 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: Kudan-kita | Statement: [Kudan area, hasSubarea, Kudan-kita]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kudan-kita
Context triple: [Kudan area, hasSubarea, Kudan-kita]
  • A. Kudan
    Kudan is a historically significant site in the Greater Lumbini Area of Nepal, traditionally associated with events from the life of the Buddha.
  • B. Kudanshita
    Kudanshita is a district and major subway station area in central Tokyo known for its proximity to the Imperial Palace, Yasukuni Shrine, and several universities and office buildings.
  • C. Kudawa
    Kudawa is a village in Sri Lanka that serves as a primary gateway for visitors entering the Sinharaja Forest Reserve.
  • D. Kanda
    Kanda is a historic commercial and educational district in central Tokyo known for its bookstores, universities, and traditional shrines.
  • E. Kanembu
    The Kanembu are an ethnic group of the Lake Chad region, historically linked to the ruling elite and culture of the medieval Kanem-Bornu Empire.
  • 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: Kudan-kita
Triple: [Kudan area, hasSubarea, Kudan-kita]
Generated description
Kudan-kita is a district in Tokyo’s Chiyoda ward known for its proximity to landmarks such as Yasukuni Shrine and various government and educational institutions.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Kudan-kita
Target entity description: Kudan-kita is a district in Tokyo’s Chiyoda ward known for its proximity to landmarks such as Yasukuni Shrine and various government and educational institutions.
  • A. Kudan
    Kudan is a historically significant site in the Greater Lumbini Area of Nepal, traditionally associated with events from the life of the Buddha.
  • B. Kudanshita chosen
    Kudanshita is a district and major subway station area in central Tokyo known for its proximity to the Imperial Palace, Yasukuni Shrine, and several universities and office buildings.
  • C. Kudawa
    Kudawa is a village in Sri Lanka that serves as a primary gateway for visitors entering the Sinharaja Forest Reserve.
  • D. Kanda
    Kanda is a historic commercial and educational district in central Tokyo known for its bookstores, universities, and traditional shrines.
  • E. Kanembu
    The Kanembu are an ethnic group of the Lake Chad region, historically linked to the ruling elite and culture of the medieval Kanem-Bornu Empire.
  • F. None of above.

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_69d86daf32ec8190a8c0466c8f49c3c0 completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e1844b86288190ad0452aad6bdd5fb completed April 17, 2026, 12:52 a.m.
NED1 Entity disambiguation (via context triple) batch_6a02f81d640081908917144f31227edd completed May 12, 2026, 9:51 a.m.
NEDg Description generation batch_6a02f8ca36588190a1d5de8494777d61 completed May 12, 2026, 9:54 a.m.
NED2 Entity disambiguation (via description) batch_6a02f9de0ae48190816002a5d32718a1 completed May 12, 2026, 9:58 a.m.
Created at: April 10, 2026, 4:57 a.m.