Triple

T1086811
Position Surface form Disambiguated ID Type / Status
Subject William F. Hagerty IV E24070 entity
Predicate residenceDuringAmbassadorship P24072 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: [William F. Hagerty IV, residenceDuringAmbassadorship, Tokyo]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tokyo
Context triple: [William F. Hagerty IV, residenceDuringAmbassadorship, 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: residenceDuringAmbassadorship
Context triple: [William F. Hagerty IV, residenceDuringAmbassadorship, Tokyo]
  • A. residenceDuringUNTerm
    Indicates the location where a person resided during the period they served in a United Nations–related role or term.
  • B. servedAsResidenceOf
    Indicates that something functioned as the home or dwelling place of a particular person or group.
  • C. formerResidenceOf
    Indicates that a location was once the place where a person or entity lived or was based, but is no longer their current residence.
  • D. seatOfPlenipotentiaryRepresentative
    Indicates the location or institution that serves as the official base or office for a plenipotentiary representative.
  • E. residenceOfHeadOfGovernment
    Indicates the place where the head of government officially resides.
  • 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_69a49404428c819092dcc9632f5f7b8b completed March 1, 2026, 7:31 p.m.
NER Named-entity recognition batch_69a4b963161081908a523c8d63871652 completed March 1, 2026, 10:10 p.m.
NED1 Entity disambiguation (via context triple) batch_69ac4bec4b688190a2fcbff37b3dfe59 completed March 7, 2026, 4:01 p.m.
PD Predicate disambiguation batch_69a4b7407914819092ed933a7316b450 completed March 1, 2026, 10:01 p.m.
PDg Predicate description generation batch_69a4b8f1097881908932d7eea4331917 completed March 1, 2026, 10:08 p.m.
Created at: March 1, 2026, 7:42 p.m.