Triple

T1654127
Position Surface form Disambiguated ID Type / Status
Subject Navy Ministry of Japan E35758 entity
Predicate hadHeadquartersLocation P62 FINISHED
Object Tokyo E5560 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: Tokyo | Statement: [Navy Ministry of Japan, hadHeadquartersLocation, Tokyo]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tokyo
Context triple: [Navy Ministry of Japan, hadHeadquartersLocation, Tokyo]
  • A. Tokyo chosen
    Tokyo is Japan’s largest metropolis and a global center of finance, culture, technology, and transportation.
  • B. Yokohama
    Yokohama is Japan’s second-largest city and a major international port located just south of Tokyo.
  • C. Kyoto
    Kyoto is a historic Japanese city renowned for its well-preserved temples, traditional wooden houses, and role as the former imperial capital.
  • D. Nagoya
    Nagoya is a major industrial and commercial city in central Japan, known as a manufacturing hub and the capital of Aichi Prefecture.
  • E. Osaka
    Osaka is Japan's third-largest city and a major economic, cultural, and historical hub known for its vibrant street food, bustling nightlife, and role as a commercial center in the Kansai region.
  • 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: hadHeadquartersLocation
Context triple: [Navy Ministry of Japan, hadHeadquartersLocation, Tokyo]
  • A. headquartersLocation chosen
    Indicates the place where an organization’s main administrative center or principal office is located.
  • B. headquartersFoundedAt
    Indicates that an organization's headquarters was originally established at a specific location.
  • C. headquartersFor
    Indicates that a location serves as the main administrative center or base of operations for an organization or entity.
  • D. hasHeadquartersBuilding
    Indicates that an organization possesses a specific building that serves as its headquarters location.
  • E. secondaryHeadquartersLocation
    Indicates the location where an organization maintains a secondary (non-primary) headquarters.
  • F. None of above.

Provenance (4 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_69a8860568888190a32cd9f70acbba42 completed March 4, 2026, 7:20 p.m.
NER Named-entity recognition batch_69aaf3359ce48190803b322db8ad6027 completed March 6, 2026, 3:31 p.m.
NED1 Entity disambiguation (via context triple) batch_69ae0a9afd688190a69c79a0b6c5e872 completed March 8, 2026, 11:47 p.m.
PD Predicate disambiguation batch_69a907cff53c8190b424f088478d3e2c completed March 5, 2026, 4:34 a.m.
Created at: March 4, 2026, 7:29 p.m.