Triple

T7850174
Position Surface form Disambiguated ID Type / Status
Subject Kitakyushu E182027 entity
Predicate formedByMerger P6637 FINISHED
Object Tobata
Tobata is a ward in the city of Kitakyushu, Japan, known historically as an independent city and an important industrial and port area in northern Kyushu.
 E727193 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: Tobata | Statement: [Kitakyushu, formedByMerger, Tobata]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Tobata
Context triple: [Kitakyushu, formedByMerger, Tobata]
  • A. Akiruno
    Akiruno is a city in western Tokyo, Japan, known for its natural scenery, including rivers, forests, and hiking areas.
  • B. Yoiyama
    Yoiyama is the lively evening street festival held before the main Gion Matsuri parade in Kyoto, featuring illuminated festival floats, food stalls, and traditional music.
  • C. Totsukawa
    Totsukawa is a remote mountainous village in Nara Prefecture, Japan, known for its hot springs, suspension bridges, and scenic river valleys.
  • D. Kamiyama
    Kamiyama is a Japanese surname borne by various individuals, including artists, athletes, and public figures.
  • E. Marunouchi
    Marunouchi is a central Tokyo business district known for its concentration of corporate headquarters, upscale offices, and proximity to Tokyo Station and the Imperial Palace.
  • 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: Tobata
Triple: [Kitakyushu, formedByMerger, Tobata]
Generated description
Tobata is a ward in the city of Kitakyushu, Japan, known historically as an independent city and an important industrial and port area in northern Kyushu.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Tobata
Target entity description: Tobata is a ward in the city of Kitakyushu, Japan, known historically as an independent city and an important industrial and port area in northern Kyushu.
  • A. Akiruno
    Akiruno is a city in western Tokyo, Japan, known for its natural scenery, including rivers, forests, and hiking areas.
  • B. Yoiyama
    Yoiyama is the lively evening street festival held before the main Gion Matsuri parade in Kyoto, featuring illuminated festival floats, food stalls, and traditional music.
  • C. Totsukawa
    Totsukawa is a remote mountainous village in Nara Prefecture, Japan, known for its hot springs, suspension bridges, and scenic river valleys.
  • D. Kamiyama
    Kamiyama is a Japanese surname borne by various individuals, including artists, athletes, and public figures.
  • E. Marunouchi
    Marunouchi is a central Tokyo business district known for its concentration of corporate headquarters, upscale offices, and proximity to Tokyo Station and the Imperial Palace.
  • 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_69ca82869ee08190b8f9040dbc2c0467 completed March 30, 2026, 2:02 p.m.
NER Named-entity recognition batch_69cb18e989ac819090e459b77d8932d3 completed March 31, 2026, 12:44 a.m.
NED1 Entity disambiguation (via context triple) batch_69cdc622b1d08190b8d840a58712ef3b completed April 2, 2026, 1:28 a.m.
NEDg Description generation batch_69cdcb8cbd3c8190b467ecbcf55231e9 completed April 2, 2026, 1:51 a.m.
NED2 Entity disambiguation (via description) batch_69cdccff097c819099a33612504468e1 completed April 2, 2026, 1:57 a.m.
Created at: March 30, 2026, 4:50 p.m.