Triple

T514531
Position Surface form Disambiguated ID Type / Status
Subject Yokohama E10676 entity
Predicate hasWard P14475 FINISHED
Object Naka-ku
Naka-ku is a central ward of Yokohama, Japan, known for its historic port area, Chinatown, and major commercial and entertainment districts.
E72347 NE FINISHED

How this triple was built (5 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: Naka-ku | Statement: [Yokohama, hasWard, Naka-ku]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Naka-ku
Context triple: [Yokohama, hasWard, Naka-ku]
  • A. Takatsuki
    Takatsuki is a city in northern Osaka Prefecture, Japan, known as a residential and commercial hub between Osaka and Kyoto.
  • B. Sendagaya
    Sendagaya is a neighborhood in Tokyo known for its sports facilities, including the National Stadium, and its proximity to Shinjuku and Harajuku.
  • C. Toyonaka
    Toyonaka is a suburban city in Japan’s Kansai region known for its residential neighborhoods, educational institutions, and proximity to central Osaka.
  • D. Kitano-cho
    Kitano-cho is a historic district in Kobe, Japan, known for its preserved Western-style residences built by foreign merchants in the late 19th and early 20th centuries.
  • E. Daikanyama
    Daikanyama is a trendy, upscale neighborhood in Tokyo known for its stylish boutiques, cafes, and relaxed, residential atmosphere.
  • 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: Naka-ku
Triple: [Yokohama, hasWard, Naka-ku]
Generated description
Naka-ku is a central ward of Yokohama, Japan, known for its historic port area, Chinatown, and major commercial and entertainment districts.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Naka-ku
Target entity description: Naka-ku is a central ward of Yokohama, Japan, known for its historic port area, Chinatown, and major commercial and entertainment districts.
  • A. Takatsuki
    Takatsuki is a city in northern Osaka Prefecture, Japan, known as a residential and commercial hub between Osaka and Kyoto.
  • B. Sendagaya
    Sendagaya is a neighborhood in Tokyo known for its sports facilities, including the National Stadium, and its proximity to Shinjuku and Harajuku.
  • C. Toyonaka
    Toyonaka is a suburban city in Japan’s Kansai region known for its residential neighborhoods, educational institutions, and proximity to central Osaka.
  • D. Kitano-cho
    Kitano-cho is a historic district in Kobe, Japan, known for its preserved Western-style residences built by foreign merchants in the late 19th and early 20th centuries.
  • E. Daikanyama
    Daikanyama is a trendy, upscale neighborhood in Tokyo known for its stylish boutiques, cafes, and relaxed, residential atmosphere.
  • F. None of above. chosen
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasWard
Context triple: [Yokohama, hasWard, Naka-ku]
  • A. containsWard chosen
    Indicates that one entity includes, encompasses, or has within it a ward (such as a district, division, or dependent person) as part of its scope or responsibility.
  • B. numberOfSpecialWards
    Indicates the count of wards that are designated as special within a given context or entity.
  • C. hasNeighbourhood
    Indicates that one entity is located within, or is associated with, a particular neighborhood area of another entity.
  • D. hasPar
    Indicates a relationship where one entity has another entity as its parent.
  • E. has
    Indicates that one entity possesses, owns, contains, or includes another entity as part of its state or composition.
  • F. None of above.

Provenance (6 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_69a2e84a0d08819087e01863fcd9abf1 completed Feb. 28, 2026, 1:06 p.m.
NER Named-entity recognition batch_69a2f232fa688190b08a2fe3f22c7a6e completed Feb. 28, 2026, 1:48 p.m.
NED1 Entity disambiguation (via context triple) batch_69a501bb88f88190b1de92ca77606d2f completed March 2, 2026, 3:19 a.m.
NEDg Description generation batch_69a503b501388190baed19e781c24b4d completed March 2, 2026, 3:27 a.m.
NED2 Entity disambiguation (via description) batch_69a5077cf14081909478ea1e0fd3eff5 completed March 2, 2026, 3:43 a.m.
PD Predicate disambiguation batch_69a2f013c05481909e6dc87e7b20ebd8 completed Feb. 28, 2026, 1:39 p.m.
Created at: Feb. 28, 2026, 1:12 p.m.