Triple

T21310359
Position Surface form Disambiguated ID Type / Status
Subject Osaka Metro Nankō Port Town Line E525315 entity
Predicate hasStation P35 FINISHED
Object Cosmosquare Station NE NERFINISHED

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: Cosmosquare Station | Statement: [Osaka Metro Nankō Port Town Line, hasStation, Cosmosquare Station]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Cosmosquare Station
Context triple: [Osaka Metro Nankō Port Town Line, hasStation, Cosmosquare Station]
  • A. Cosmosquare Station chosen
    Cosmosquare Station is a terminal subway station on Osaka Metro’s Chūō Line serving the waterfront/cosbay area of Osaka, Japan.
  • B. People’s Square Station
    People’s Square Station is a major Shanghai Metro interchange hub located beneath People’s Square in central Shanghai, China.
  • C. Shoush Metro Station
    Shoush Metro Station is a stop on Tehran’s Metro system serving passengers along Line 1 in the Shoush neighborhood.
  • D. Ayala station
    Ayala station is a major elevated rapid transit stop on Manila's MRT Line 3 serving the busy Makati Central Business District in the Philippines.
  • E. MedPark Station
    MedPark Station is a commuter rail stop on the Denton County Transportation Authority’s A-train line in Denton, Texas, serving nearby medical and commercial facilities.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e0b518b8948190ad69cf9a8784d397 completed April 16, 2026, 10:08 a.m.
NER Named-entity recognition batch_69e75aab14f08190949e1407eb2b3e67 completed April 21, 2026, 11:08 a.m.
Created at: April 16, 2026, 4:09 p.m.