Triple

T3845102
Position Surface form Disambiguated ID Type / Status
Subject Okinawa Urban Monorail E93549 entity
Predicate hasStation P35 FINISHED
Object Tedako-Uranishi Station E848984 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: Tedako-Uranishi Station | Statement: [Okinawa Urban Monorail, hasStation, Tedako-Uranishi Station]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tedako-Uranishi Station
Context triple: [Okinawa Urban Monorail, hasStation, Tedako-Uranishi Station]
  • A. Tedako-Uranishi Station chosen
    Tedako-Uranishi Station is the western terminal station of the Okinawa Urban Monorail (Yui Rail) in Urasoe, Okinawa, Japan.
  • B. Uguisudani Station
    Uguisudani Station is a railway station in Tokyo, Japan, known for serving the Yamanote and Keihin-Tōhoku Lines near the Ueno area.
  • C. Kishinosato Station
    Kishinosato Station is a railway station in Osaka, Japan, served by the Osaka Metro Yotsubashi Line.
  • D. Ikenoue Station
    Ikenoue Station is a railway station in Tokyo, Japan, served by the Keio Inokashira Line and primarily used by local commuters.
  • E. Takatsuki Station
    Takatsuki Station is a major railway station in Takatsuki, Osaka Prefecture, Japan, serving as an important stop on the JR Kyoto Line between Osaka and Kyoto.
  • 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_69aed96ce578819084ab16e3439976c9 completed March 9, 2026, 2:30 p.m.
NER Named-entity recognition batch_69aeebb655c081909ec5ff3d09eb4778 completed March 9, 2026, 3:48 p.m.
NED1 Entity disambiguation (via context triple) batch_69d59af45f2881908516277f7f625131 completed April 8, 2026, 12:01 a.m.
Created at: March 9, 2026, 3:18 p.m.