Triple

T9094853
Position Surface form Disambiguated ID Type / Status
Subject Rokin E217989 entity
Predicate hasPublicTransport P1288 FINISHED
Object Rokin metro station E329438 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: Rokin metro station | Statement: [Rokin, hasPublicTransport, Rokin metro station]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Rokin metro station
Context triple: [Rokin, hasPublicTransport, Rokin metro station]
  • A. Rokin metro station chosen
    Rokin metro station is an underground station on Amsterdam’s North–South metro line, located beneath the Rokin street in the city center.
  • B. Rhoon metro station
    Rhoon metro station is a rapid transit station on the Rotterdam Metro network serving the village of Rhoon in the Netherlands.
  • 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. Rissne metro station
    Rissne metro station is a Stockholm metro station on the blue line, serving the Rissne district in Sundbyberg, Sweden.
  • E. Nopo Metro Station
    Nopo Metro Station is a subway station in Busan, South Korea, serving as a key transit hub for the Nopo-dong area.
  • 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_69ca83d9844081908e561e367fda6d45 completed March 30, 2026, 2:08 p.m.
NER Named-entity recognition batch_69cc96b4a2e0819092f4eae8b1d21f33 completed April 1, 2026, 3:53 a.m.
NED1 Entity disambiguation (via context triple) batch_69d0180f70b88190a2d3dc49f32f0c2e completed April 3, 2026, 7:42 p.m.
Created at: March 30, 2026, 7:14 p.m.