Triple

T31831053
Position Surface form Disambiguated ID Type / Status
Subject Ebina E812534 entity
Predicate hasCityMascot P52 FINISHED
Object Ebina Ebina-chan
Ebina Ebina-chan is the official yuru-chara (cute local mascot) representing Ebina City in Kanagawa Prefecture, Japan, used to promote the city and its attractions.
 E1979738 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: Ebina Ebina-chan | Statement: [Ebina, hasCityMascot, Ebina Ebina-chan]
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: Ebina Ebina-chan
Triple: [Ebina, hasCityMascot, Ebina Ebina-chan]
Generated description
Ebina Ebina-chan is the official yuru-chara (cute local mascot) representing Ebina City in Kanagawa Prefecture, Japan, used to promote the city and its attractions.
PD Predicate disambiguation gpt-5-mini-2025-08-07 
Target predicate: hasCityMascot
Context triple: [Ebina, hasCityMascot, Ebina Ebina-chan]
  • A. hasMascot chosen
    Indicates that an entity is represented or symbolized by a particular mascot.
  • B. mascotName
    Indicates the name assigned to a mascot that represents an entity.
  • C. mascotForSportLevel
    Indicates that an entity serves as the mascot specifically for a given sport at a particular competitive or organizational level.
  • D. isMascotCounterpartOf
    Indicates that one entity serves as the mascot equivalent or counterpart of another entity, typically representing the same thing in a mascot form.
  • E. hasOfficialMascot
    Indicates that an entity is formally represented or symbolized by a designated mascot.
  • 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_69f348ea7ffc8190a2ab43d80277cf59 completed April 30, 2026, 12:19 p.m.
NER Named-entity recognition batch_69f760a35b988190904e6267553ad2fe completed May 3, 2026, 2:50 p.m.
NED1 Entity disambiguation (via context triple) batch_6a2e65a46ac081909b1842be063e0e12 completed June 14, 2026, 8:26 a.m.
NEDg Description generation batch_6a2e66d85dc481908d7a51e1b0747601 completed June 14, 2026, 8:31 a.m.
NED2 Entity disambiguation (via description) batch_6a2e678bedb48190b9f7728aa5606420 completed June 14, 2026, 8:34 a.m.
PD Predicate disambiguation batch_69f75eb3d6f081908c933474eb359e3d completed May 3, 2026, 2:41 p.m.
Created at: April 30, 2026, 11:47 p.m.