Triple

T21996455
Position Surface form Disambiguated ID Type / Status
Subject フィリピン・ルソン島 E543217 entity
Predicate 含む都市 P41762 FINISHED
Object マニラ NE NERFINISHED

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: マニラ | Statement: [フィリピン・ルソン島, 含む都市, マニラ]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: マニラ
Context triple: [フィリピン・ルソン島, 含む都市, マニラ]
  • A. Manila chosen
    Manila is the capital city of the Philippines, a historic and densely populated coastal metropolis that has long served as the country’s political, economic, and cultural center.
  • B. Manila
    Manila is the OpenStack shared file system service that provides scalable, API-driven management of networked file shares.
  • C. Manila
    Manila is a web-based content management and blogging system developed by UserLand Software that was popular in the early days of personal publishing on the internet.
  • D. Manila
    Manila is a fictional member of the Professor's heist crew in the Spanish television series "Money Heist" ("La Casa de Papel").
  • E. Quezon City, Philippines
    Quezon City, Philippines is a highly urbanized city in Metro Manila that serves as a major political, educational, and commercial center of the country.
  • 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: 含む都市
Context triple: [フィリピン・ルソン島, 含む都市, マニラ]
  • A. hostCitiesInclude
    Indicates that a particular set, event, or organization has among its host locations the specified city or cities.
  • B. notableCityIncluded chosen
    Indicates that a notable or significant city is contained within, or is part of, a larger geographic or administrative entity.
  • C. oftenIncludesMunicipality
    Indicates that one entity frequently or typically contains or encompasses a municipality within its boundaries or scope.
  • D. hasNumberOfComponentCities
    Indicates the relationship that specifies how many component cities are contained within or associated with a given entity.
  • E. isPrefecturalCityOf
    Indicates that a city holds the administrative status of a prefecture-level city within a given region or country.
  • F. None of above.

Provenance (3 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_69e11e2c814c8190837d072789000486 completed April 16, 2026, 5:36 p.m.
NER Named-entity recognition batch_69f12765fb0c81908f7b7acda065ee2f completed April 28, 2026, 9:32 p.m.
PD Predicate disambiguation batch_69e6f62dc9d88190ae387f145f9528de completed April 21, 2026, 3:59 a.m.
Created at: April 16, 2026, 8:19 p.m.