Triple

T15046619
Position Surface form Disambiguated ID Type / Status
Subject Koizumi family E379243 entity
Predicate hasSeatBase P116527 FINISHED
Object Yokosuka, Kanagawa Prefecture E89704 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: Yokosuka, Kanagawa Prefecture | Statement: [Koizumi family, hasSeatBase, Yokosuka, Kanagawa Prefecture]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Yokosuka, Kanagawa Prefecture
Context triple: [Koizumi family, hasSeatBase, Yokosuka, Kanagawa Prefecture]
  • A. Yokosuka, Kanagawa, Japan chosen
    Yokosuka, in Kanagawa Prefecture, Japan, is a major naval port city hosting both Japanese and U.S. military bases and serving as an important maritime and industrial center.
  • B. Kawasaki, Kanagawa
    Kawasaki, Kanagawa is a major industrial and residential city in Kanagawa Prefecture, Japan, situated between Tokyo and Yokohama along the Tama River.
  • C. Yokosuka
    Yokosuka is a coastal city in Kanagawa Prefecture, Japan, known for its major naval base and strategic location at the mouth of Tokyo Bay.
  • D. Yokohama, Kanagawa, Japan
    Yokohama, in Kanagawa Prefecture, is Japan’s second-largest city and a major international port known for its historic role in opening Japan to foreign trade and its modern waterfront skyline.
  • E. Ōiso, Kanagawa
    Ōiso, Kanagawa is a coastal town in Kanagawa Prefecture, Japan, known as a historic seaside resort and former retreat for prominent political figures such as Prime Minister Shigeru Yoshida.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
PD Predicate disambiguation gpt-5-mini-2025-08-07 
Target predicate: hasSeatBase
Context triple: [Koizumi family, hasSeatBase, Yokosuka, Kanagawa Prefecture]
  • A. hasSeat
    Indicates that one entity possesses, provides, or includes a seat for another entity.
  • B. hasSeating
    Indicates that one entity provides or contains seating capacity or seating arrangements for another entity.
  • C. hasSeatMaterial
    Indicates that an entity’s seat is made of, or covered with, a specified material.
  • D. hasSeatBuilding
    Indicates that a seat (or seating area) is located within or belongs to a particular building.
  • E. hasTypicalSeatColor
    Indicates that an entity is characteristically associated with a particular color of seat.
  • 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_69d85cd64d108190853797a95c11cc45 completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69deda8e64e48190873104a02a676ff3 completed April 15, 2026, 12:23 a.m.
NED1 Entity disambiguation (via context triple) batch_69feef603b788190ad747d73af2363d4 completed May 9, 2026, 8:25 a.m.
PD Predicate disambiguation batch_69de9a69d7848190b2b4662dd30f20e9 completed April 14, 2026, 7:50 p.m.
PDg Predicate description generation batch_69deb1a88d588190996afa8e5b32b552 completed April 14, 2026, 9:29 p.m.
Created at: April 10, 2026, 3 a.m.