Triple

T16698797
Position Surface form Disambiguated ID Type / Status
Subject Japantown, San Francisco E405786 entity
Predicate PeacePagodaDesignedBy P124290 FINISHED
Object Yoshirō Taniguchi
Yoshirō Taniguchi was a prominent Japanese modernist architect known for his refined, minimalist designs and influential postwar works in Japan and abroad.
 E2167652 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: Yoshirō Taniguchi | Statement: [Japantown, San Francisco, PeacePagodaDesignedBy, Yoshirō Taniguchi]
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: Yoshirō Taniguchi
Triple: [Japantown, San Francisco, PeacePagodaDesignedBy, Yoshirō Taniguchi]
Generated description
Yoshirō Taniguchi was a prominent Japanese modernist architect known for his refined, minimalist designs and influential postwar works in Japan and abroad.
PD Predicate disambiguation gpt-5-mini-2025-08-07 
Target predicate: PeacePagodaDesignedBy
Context triple: [Japantown, San Francisco, PeacePagodaDesignedBy, Yoshirō Taniguchi]
  • A. hasPagoda
    Indicates that one entity possesses, contains, or is characterized by the presence of a pagoda.
  • B. eastPagodaHeight
    Indicates that the relationship concerns the height measurement or height-related attribute of the east pagoda.
  • C. hasFiveStoryPagoda
    Indicates that an entity possesses or includes a pagoda structure specifically consisting of five stories.
  • D. religiousBuildingDesigned
    Indicates that one entity (typically an architect or designer) is responsible for designing a religious building associated with the other entity.
  • E. hillTemple
    Indicates a relationship where a temple is located on, associated with, or dedicated to a hill.
  • 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_69d8838db21081909589220fd71440a4 completed April 10, 2026, 4:58 a.m.
NER Named-entity recognition batch_69e3832f550c8190bf7514d4611dec6a completed April 18, 2026, 1:12 p.m.
NED1 Entity disambiguation (via context triple) batch_6a38d5171bec8190bf434fbb9f9ad83c completed June 22, 2026, 6:24 a.m.
NEDg Description generation batch_6a38d60d968081908071371e5bbc1314 completed June 22, 2026, 6:28 a.m.
NED2 Entity disambiguation (via description) batch_6a38d6b7722c81909093057618f2569a completed June 22, 2026, 6:31 a.m.
PD Predicate disambiguation batch_69e319bc73908190a0e38bc926b31f10 completed April 18, 2026, 5:42 a.m.
PDg Predicate description generation batch_69e326b9e84881909a9166e65bd850d6 completed April 18, 2026, 6:37 a.m.
Created at: April 10, 2026, 5:19 a.m.