Triple

T15644642
Position Surface form Disambiguated ID Type / Status
Subject 監察院 E376147 entity
Predicate locatedIn P40 FINISHED
Object 臺北市 E1159370 NE FINISHED

How this triple was built (2 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: 臺北市 | Statement: [監察院, locatedIn, 臺北市]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: 臺北市
Context triple: [監察院, locatedIn, 臺北市]
  • A. 臺北市 chosen
    臺北市是臺灣的首都與最大都會區之一,為國家的政治、經濟、文化與交通中心。
  • B. New Taipei City
    New Taipei City is a populous special municipality in northern Taiwan that encircles Taipei and serves as a major residential, industrial, and transportation hub of the Taipei metropolitan area.
  • C. Taichung
    Taichung is a major city in central Taiwan known for its cultural attractions, mild climate, and role as an important economic and transportation hub.
  • D. 嘉義市
    嘉義市 is a county-level city in southwestern Taiwan known for its cultural heritage, historic sites, and role as a gateway to the Alishan scenic area.
  • E. Tainan
    Tainan is a historic city in southern Taiwan known for its well-preserved temples, traditional culture, and status as the island’s former capital.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

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_69d85cd035a48190b73d5579ab73969a completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69e04ed400ec8190a14a9f7cf3092865 completed April 16, 2026, 2:52 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff5f4e558481909a39fdc5d104994a completed May 9, 2026, 4:22 p.m.
Created at: April 10, 2026, 4:15 a.m.