Triple

T17102383
Position Surface form Disambiguated ID Type / Status
Subject Tama area E415010 entity
Predicate hasPart P35 FINISHED
Object Kiyose
Kiyose is a suburban city in western Tokyo, Japan, known for its residential neighborhoods and relatively green, low-rise environment within the greater Tokyo metropolitan area.
 E1547133 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: Kiyose | Statement: [Tama area, hasPart, Kiyose]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Kiyose
Context triple: [Tama area, hasPart, Kiyose]
  • A. Akiruno
    Akiruno is a city in western Tokyo, Japan, known for its natural scenery, including rivers, forests, and hiking areas.
  • B. Okachimachi
    Okachimachi is a bustling commercial and shopping district in Tokyo known for its discount stores, jewelry shops, and proximity to Ueno.
  • C. Tsuchiura
    Tsuchiura is a city in Ibaraki Prefecture, Japan, known for its location on the shores of Lake Kasumigaura and its annual national fireworks competition.
  • D. Yawata
    Yawata is a city in Japan known for its historic Iwashimizu Hachimangū Shrine and its location in the southern part of Kyoto Prefecture.
  • E. Ōyodo
    Ōyodo was a Japanese light cruiser of the Imperial Japanese Navy in World War II, designed as a flagship for submarine operations and later used in major Pacific naval engagements.
  • 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: Kiyose
Triple: [Tama area, hasPart, Kiyose]
Generated description
Kiyose is a suburban city in western Tokyo, Japan, known for its residential neighborhoods and relatively green, low-rise environment within the greater Tokyo metropolitan area.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Kiyose
Target entity description: Kiyose is a suburban city in western Tokyo, Japan, known for its residential neighborhoods and relatively green, low-rise environment within the greater Tokyo metropolitan area.
  • A. Akiruno
    Akiruno is a city in western Tokyo, Japan, known for its natural scenery, including rivers, forests, and hiking areas.
  • B. Okachimachi
    Okachimachi is a bustling commercial and shopping district in Tokyo known for its discount stores, jewelry shops, and proximity to Ueno.
  • C. Tsuchiura
    Tsuchiura is a city in Ibaraki Prefecture, Japan, known for its location on the shores of Lake Kasumigaura and its annual national fireworks competition.
  • D. Yawata
    Yawata is a city in Japan known for its historic Iwashimizu Hachimangū Shrine and its location in the southern part of Kyoto Prefecture.
  • E. Ōyodo
    Ōyodo was a Japanese light cruiser of the Imperial Japanese Navy in World War II, designed as a flagship for submarine operations and later used in major Pacific naval engagements.
  • 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_69d886cfc8e88190b05ba466edd35591 completed April 10, 2026, 5:12 a.m.
NER Named-entity recognition batch_69e3dc239a088190a776fe0f4361ffc7 completed April 18, 2026, 7:31 p.m.
NED1 Entity disambiguation (via context triple) batch_6a0b5844337081908aef20e35afd6233 completed May 18, 2026, 6:19 p.m.
NEDg Description generation batch_6a0b6f5b85548190bd54f5a13dd27c5d completed May 18, 2026, 7:58 p.m.
NED2 Entity disambiguation (via description) batch_6a0b706cba28819091d40e7832e61f97 completed May 18, 2026, 8:02 p.m.
Created at: April 10, 2026, 5:35 a.m.