Triple

T27908271
Position Surface form Disambiguated ID Type / Status
Subject Moji-ku E705849 entity
Predicate urbanDevelopmentBrand P166467 FINISHED
Object Mojiko Retro
Mojiko Retro is a popular historical waterfront district in Kitakyushu, Japan, known for its preserved early 20th-century architecture and nostalgic port-town atmosphere.
 E1794984 NE FINISHED

How this triple was built (3 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: Mojiko Retro | Statement: [Moji-ku, urbanDevelopmentBrand, Mojiko Retro]
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: Mojiko Retro
Triple: [Moji-ku, urbanDevelopmentBrand, Mojiko Retro]
Generated description
Mojiko Retro is a popular historical waterfront district in Kitakyushu, Japan, known for its preserved early 20th-century architecture and nostalgic port-town atmosphere.
PD Predicate disambiguation gpt-5-mini-2025-08-07 
Target predicate: urbanDevelopmentBrand
Context triple: [Moji-ku, urbanDevelopmentBrand, Mojiko Retro]
  • A. urbanDevelopment
    Indicates the process or activities through which urban areas are planned, expanded, or transformed, including changes to infrastructure, land use, and the built environment.
  • B. urbanDevelopmentIncludes
    Indicates that a broader urban development plan or project encompasses or contains specific components, features, or activities.
  • C. urbanDevelopmentLinkedTo
    Indicates a relationship where changes or activities in urban development are causally or correlationally connected to another factor, condition, or outcome.
  • D. urbanDevelopmentProject
    Indicates a project that plans, manages, or executes changes to urban areas, such as construction, renewal, or infrastructure improvements.
  • E. urbanDevelopmentType
    Indicates the specific category or nature of urban development associated with or applied to an entity (e.g., residential, commercial, mixed-use).
  • F. None of above. chosen

Provenance (7 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_69ef96b5aad08190be36a277c31e7004 completed April 27, 2026, 5:02 p.m.
NER Named-entity recognition batch_69f6622808b48190bbabcc75288ab031 completed May 2, 2026, 8:44 p.m.
NED1 Entity disambiguation (via context triple) batch_6a13036e24588190b59dac93ed5cc3b4 completed May 24, 2026, 1:55 p.m.
NEDg Description generation batch_6a1304306b688190b128a526eea2486e completed May 24, 2026, 1:59 p.m.
NED2 Entity disambiguation (via description) batch_6a130625d7a48190a885048db3b29854 completed May 24, 2026, 2:07 p.m.
PD Predicate disambiguation batch_69f660f082508190a95a7888ad66cb2e completed May 2, 2026, 8:39 p.m.
PDg Predicate description generation batch_69f6617a7e7c81908cfac4a2250797ee completed May 2, 2026, 8:41 p.m.
Created at: April 27, 2026, 6:47 p.m.