Triple

T15941041
Position Surface form Disambiguated ID Type / Status
Subject Kita-ku, Osaka E386560 entity
Predicate contains P35 FINISHED
Object Nakatsu
Nakatsu is a neighborhood in Osaka, Japan, known for its mix of residential streets, local eateries, and convenient access to central Osaka.
 E1452349 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: Nakatsu | Statement: [Kita-ku, Osaka, contains, Nakatsu]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Nakatsu
Context triple: [Kita-ku, Osaka, contains, Nakatsu]
  • A. Ichinomiya
    Ichinomiya is a city in Aichi Prefecture, Japan, known historically as a textile and commercial center within the Nagoya metropolitan area.
  • B. Shinanomachi
    Shinanomachi is a district in Shinjuku, Tokyo, known for its residential neighborhoods, medical institutions, and proximity to central Tokyo areas like Yotsuya.
  • C. Yawata
    Yawata is a city in Japan known for its historic Iwashimizu Hachimangū Shrine and its location in the southern part of Kyoto Prefecture.
  • D. Fujieda
    Fujieda is a city in Shizuoka Prefecture, Japan, known as a regional commercial center with a mix of residential areas, agriculture, and light industry.
  • E. Kitanagoya
    Kitanagoya is a city in central Japan known as a residential and commercial suburb within the Nagoya metropolitan area.
  • 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: Nakatsu
Triple: [Kita-ku, Osaka, contains, Nakatsu]
Generated description
Nakatsu is a neighborhood in Osaka, Japan, known for its mix of residential streets, local eateries, and convenient access to central Osaka.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Nakatsu
Target entity description: Nakatsu is a neighborhood in Osaka, Japan, known for its mix of residential streets, local eateries, and convenient access to central Osaka.
  • A. Ichinomiya
    Ichinomiya is a city in Aichi Prefecture, Japan, known historically as a textile and commercial center within the Nagoya metropolitan area.
  • B. Shinanomachi
    Shinanomachi is a district in Shinjuku, Tokyo, known for its residential neighborhoods, medical institutions, and proximity to central Tokyo areas like Yotsuya.
  • C. Yawata
    Yawata is a city in Japan known for its historic Iwashimizu Hachimangū Shrine and its location in the southern part of Kyoto Prefecture.
  • D. Fujieda
    Fujieda is a city in Shizuoka Prefecture, Japan, known as a regional commercial center with a mix of residential areas, agriculture, and light industry.
  • E. Kitanagoya
    Kitanagoya is a city in central Japan known as a residential and commercial suburb within the Nagoya metropolitan area.
  • 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_69d86da750008190987eb26be3f6c118 completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e156cd3a188190a1a7dcbfdd38284c completed April 16, 2026, 9:38 p.m.
NED1 Entity disambiguation (via context triple) batch_6a0900574d988190bd635ebb22c54357 completed May 16, 2026, 11:40 p.m.
NEDg Description generation batch_6a0901a0dac081909f9184e99a70419a completed May 16, 2026, 11:45 p.m.
NED2 Entity disambiguation (via description) batch_6a09023cf27081908eb246367215ae12 completed May 16, 2026, 11:48 p.m.
Created at: April 10, 2026, 4:53 a.m.