Triple

T9450166
Position Surface form Disambiguated ID Type / Status
Subject Ōita Prefecture E227866 entity
Predicate contains P35 FINISHED
Object Usuki
Usuki is a historic coastal city in Japan known for its well-preserved samurai district and famous stone Buddha statues.
 E799519 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: Usuki | Statement: [Ōita Prefecture, contains, Usuki]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Usuki
Context triple: [Ōita Prefecture, contains, Usuki]
  • A. Ebisu
    Ebisu is a fashionable Tokyo neighborhood known for its upscale dining, craft beer scene, and convenient access via Ebisu Station near Shibuya.
  • B. Kunoy
    Kunoy is a small, mountainous island in the Faroe Islands known for its dramatic cliffs, sparse population, and traditional fishing villages.
  • C. Shiba
    Shiba is a central district in Minato, Tokyo, known for its mix of historic temples, business centers, and residential areas.
  • D. Kurō
    Kurō is an honorific name historically associated with the famed Japanese military commander Minamoto no Yoshitsune of the late Heian period.
  • E. Nippani
    Nippani is a town in the northern part of Karnataka, India, known for its agriculture, small-scale industries, and location near the Maharashtra border.
  • 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: Usuki
Triple: [Ōita Prefecture, contains, Usuki]
Generated description
Usuki is a historic coastal city in Japan known for its well-preserved samurai district and famous stone Buddha statues.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Usuki
Target entity description: Usuki is a historic coastal city in Japan known for its well-preserved samurai district and famous stone Buddha statues.
  • A. Ebisu
    Ebisu is a fashionable Tokyo neighborhood known for its upscale dining, craft beer scene, and convenient access via Ebisu Station near Shibuya.
  • B. Kunoy
    Kunoy is a small, mountainous island in the Faroe Islands known for its dramatic cliffs, sparse population, and traditional fishing villages.
  • C. Shiba
    Shiba is a central district in Minato, Tokyo, known for its mix of historic temples, business centers, and residential areas.
  • D. Kurō
    Kurō is an honorific name historically associated with the famed Japanese military commander Minamoto no Yoshitsune of the late Heian period.
  • E. Nippani
    Nippani is a town in the northern part of Karnataka, India, known for its agriculture, small-scale industries, and location near the Maharashtra border.
  • 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_69ca8439f8bc8190997f2ef40c9f0bc2 completed March 30, 2026, 2:10 p.m.
NER Named-entity recognition batch_69cd7f6649a48190b6844daa6202efe5 completed April 1, 2026, 8:26 p.m.
NED1 Entity disambiguation (via context triple) batch_69d11070e91c8190bd793126049ead27 completed April 4, 2026, 1:21 p.m.
NEDg Description generation batch_69d111113c5c81909ff654734b211753 completed April 4, 2026, 1:24 p.m.
NED2 Entity disambiguation (via description) batch_69d111ab40a48190bb77c1cf80ef87a8 completed April 4, 2026, 1:27 p.m.
Created at: March 30, 2026, 7:51 p.m.