Triple

T9887850
Position Surface form Disambiguated ID Type / Status
Subject Edogawa E181380 entity
Predicate hasRiver P165 FINISHED
Object Nakagawa
Nakagawa is a river in Japan, likely a tributary or neighboring waterway associated with the Edogawa River system.
 E919957 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: Nakagawa | Statement: [Edogawa, hasRiver, Nakagawa]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Nakagawa
Context triple: [Edogawa, hasRiver, Nakagawa]
  • A. Aikawa
    Aikawa was a former town in Niigata Prefecture, Japan, known historically for its role in the Sado gold and silver mining region before being merged into the city of Sado.
  • B. Gushikawa
    Gushikawa was a former city in Okinawa Prefecture, Japan, that later became part of the modern city of Uruma.
  • C. Tatsuno
    Tatsuno is a city in western Japan known for its traditional soy sauce production and historic townscape within Hyogo Prefecture.
  • D. Yamaga
    Yamaga is a historic city in Japan known for its traditional lantern festival and hot spring resorts in northern Kumamoto Prefecture.
  • E. Ogawa
    Ogawa is a town in Saitama Prefecture, Japan, known for its traditional Japanese paper (washi) production and its role as a local transport hub.
  • 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: Nakagawa
Triple: [Edogawa, hasRiver, Nakagawa]
Generated description
Nakagawa is a river in Japan, likely a tributary or neighboring waterway associated with the Edogawa River system.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Nakagawa
Target entity description: Nakagawa is a river in Japan, likely a tributary or neighboring waterway associated with the Edogawa River system.
  • A. Aikawa
    Aikawa was a former town in Niigata Prefecture, Japan, known historically for its role in the Sado gold and silver mining region before being merged into the city of Sado.
  • B. Gushikawa
    Gushikawa was a former city in Okinawa Prefecture, Japan, that later became part of the modern city of Uruma.
  • C. Tatsuno
    Tatsuno is a city in western Japan known for its traditional soy sauce production and historic townscape within Hyogo Prefecture.
  • D. Yamaga
    Yamaga is a historic city in Japan known for its traditional lantern festival and hot spring resorts in northern Kumamoto Prefecture.
  • E. Ogawa
    Ogawa is a town in Saitama Prefecture, Japan, known for its traditional Japanese paper (washi) production and its role as a local transport hub.
  • 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_69ca8283a6708190801af7a25a7ebb9f completed March 30, 2026, 2:02 p.m.
NER Named-entity recognition batch_69cdb4592db881909b134834dde614d8 completed April 2, 2026, 12:12 a.m.
NED1 Entity disambiguation (via context triple) batch_69e5424a26688190a49c3920d0edb546 completed April 19, 2026, 8:59 p.m.
NEDg Description generation batch_69e5474879088190990468d960b26739 completed April 19, 2026, 9:21 p.m.
NED2 Entity disambiguation (via description) batch_69e54eccdd3881908536ee3f9f4ef516 completed April 19, 2026, 9:53 p.m.
Created at: March 30, 2026, 8:39 p.m.