Triple

T11805901
Position Surface form Disambiguated ID Type / Status
Subject Saitama Prefecture E280745 entity
Predicate hasHighCommuterRateTo P46264 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: [Saitama Prefecture, hasHighCommuterRateTo, Tokyo]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tokyo
Context triple: [Saitama Prefecture, hasHighCommuterRateTo, Tokyo]
  • A. Tokyo chosen
    Tokyo is Japan’s largest metropolis and a global center of finance, culture, technology, and transportation.
  • B. Tōkyō-wan
    Tōkyō-wan is the Japanese name for Tokyo Bay, a major urban bay on the Pacific coast of Honshu that serves as a key economic and transportation hub for the Greater Tokyo Area.
  • C. Yokohama
    Yokohama is Japan’s second-largest city and a major international port located just south of Tokyo.
  • D. Chuo City, Tokyo
    Chuo City, Tokyo is a central ward of Tokyo known for its historic commercial districts like Nihonbashi and Ginza, serving as a major hub for finance, retail, and culture.
  • E. Nakano, Tokyo
    Nakano, Tokyo is a special ward in western Tokyo known for its dense residential neighborhoods, vibrant shopping streets, and pop culture hub around Nakano Broadway.
  • 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: hasHighCommuterRateTo
Context triple: [Saitama Prefecture, hasHighCommuterRateTo, Tokyo]
  • A. hasCommuterTraffic
    Indicates that there is regular, recurring traffic flow associated with people traveling between their homes and places of work or study.
  • B. hasCommuterPopulation chosen
    Indicates that a place has a significant number of people who regularly travel to or from it for work, study, or other routine activities.
  • C. hasHeavyPassengerTraffic
    Indicates that an entity experiences a high volume of passenger movement or usage over a given period.
  • D. hasMajorRailLinksTo
    Indicates that there are significant railway connections or routes between two locations.
  • E. hasCommuterOrientation
    Indicates that an entity is designed or intended primarily for use by commuters, emphasizing suitability for regular travel between home and work or study.
  • 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_69d6ab26aae88190b2489efcb2a24234 completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d8a658f918819092c2db05fe2ab0ce completed April 10, 2026, 7:27 a.m.
NED1 Entity disambiguation (via context triple) batch_69f28110623481908354bdd4e437f99e completed April 29, 2026, 10:07 p.m.
PD Predicate disambiguation batch_69d8a24e9a088190aff7932d1ff93dbf completed April 10, 2026, 7:10 a.m.
Created at: April 8, 2026, 9:42 p.m.