Triple

T493701
Position Surface form Disambiguated ID Type / Status
Subject Iwakura Mission E10243 entity
Predicate departureLocation P1521 FINISHED
Object Yokohama E10676 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: Yokohama | Statement: [Iwakura Mission, departureLocation, Yokohama]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Yokohama
Context triple: [Iwakura Mission, departureLocation, Yokohama]
  • A. Yokohama chosen
    Yokohama is Japan’s second-largest city and a major international port located just south of Tokyo.
  • B. Nagoya
    Nagoya is a major industrial and commercial city in central Japan, known as a manufacturing hub and the capital of Aichi Prefecture.
  • C. Tokyo
    Tokyo is Japan’s largest metropolis and a global center of finance, culture, technology, and transportation.
  • D. Sendai
    Sendai is the largest city in Japan’s Tōhoku region, known for its lush greenery, historic sites, and status as a major economic and cultural center in northeastern Honshu.
  • 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: departureLocation
Context triple: [Iwakura Mission, departureLocation, Yokohama]
  • A. placeOfDeparture chosen
    Indicates the location from which an entity, such as a person or vehicle, begins its journey or movement.
  • B. airportLocatedIn
    Indicates that an airport is geographically situated within a specific administrative or territorial area.
  • C. departureYear
    Indicates the calendar year in which an entity leaves, exits, or ceases its association with another entity or location.
  • D. placeOfArrival
    Indicates the location at which an entity or person arrives at the end of a journey, movement, or transfer.
  • E. departurePilot
    Indicates that a pilot is responsible for operating or commanding the departing flight or vehicle.
  • 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_69a2e847df8481909239ec08ccf1e376 completed Feb. 28, 2026, 1:06 p.m.
NER Named-entity recognition batch_69a2f0fbfa408190aeb3b93996a35c00 completed Feb. 28, 2026, 1:43 p.m.
NED1 Entity disambiguation (via context triple) batch_69adfb7447408190a63a1e21b087dbf8 completed March 8, 2026, 10:43 p.m.
PD Predicate disambiguation batch_69a2edf90ca88190b6a182e5b6733612 completed Feb. 28, 2026, 1:30 p.m.
Created at: Feb. 28, 2026, 1:12 p.m.