Triple

T21971567
Position Surface form Disambiguated ID Type / Status
Subject Avenue Mozart E542602 entity
Predicate hasPublicTransportConnection P3791 FINISHED
Object Jasmin metro 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: Jasmin metro station | Statement: [Avenue Mozart, hasPublicTransportConnection, Jasmin metro station]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Jasmin metro station
Context triple: [Avenue Mozart, hasPublicTransportConnection, Jasmin metro station]
  • A. Jasmin metro station chosen
    Jasmin metro station is a Paris Métro station in the 16th arrondissement, serving Line 9 in a primarily residential area on the city's western side.
  • B. Palam metro station
    Palam metro station is an elevated station on the Delhi Metro network serving the Palam area in southwest Delhi, India.
  • C. Rissne metro station
    Rissne metro station is a Stockholm metro station on the blue line, serving the Rissne district in Sundbyberg, Sweden.
  • D. Nyamiha metro station
    Nyamiha metro station is a Minsk Metro station named after and located near the historic Nyamiha River in central Minsk, Belarus.
  • E. Shoush Metro Station
    Shoush Metro Station is a stop on Tehran’s Metro system serving passengers along Line 1 in the Shoush neighborhood.
  • 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_69e0c48070988190909db97667b9a0ac completed April 16, 2026, 11:14 a.m.
NER Named-entity recognition batch_69f12484b83081908c08e3285e0b14a9 completed April 28, 2026, 9:20 p.m.
Created at: April 16, 2026, 8:02 p.m.