Triple

T9805056
Position Surface form Disambiguated ID Type / Status
Subject Śródmieście, Warsaw E237933 entity
Predicate contains P35 FINISHED
Object Rondo ONZ metro station E262765 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: Rondo ONZ metro station | Statement: [Śródmieście, Warsaw, contains, Rondo ONZ metro station]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Rondo ONZ metro station
Context triple: [Śródmieście, Warsaw, contains, Rondo ONZ metro station]
  • A. Rondo ONZ metro station chosen
    Rondo ONZ metro station is an underground station on Line M2 of the Warsaw Metro, serving the central business district near the ONZ traffic circle.
  • B. Rondizzoni metro station
    Rondizzoni metro station is a stop on the Santiago Metro system in Santiago, Chile.
  • C. Rissne metro station
    Rissne metro station is a Stockholm metro station on the blue line, serving the Rissne district in Sundbyberg, Sweden.
  • D. Rhoon metro station
    Rhoon metro station is a rapid transit station on the Rotterdam Metro network serving the village of Rhoon in the Netherlands.
  • E. Pont Marie metro station
    Pont Marie metro station is a Paris Métro station on Line 7 located in the historic center of Paris near the Seine and the Île Saint-Louis.
  • 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_69ca84dd4608819097ff4ed00feca280 completed March 30, 2026, 2:12 p.m.
NER Named-entity recognition batch_69cdab7b67748190ba16ce868f29d13e completed April 1, 2026, 11:34 p.m.
NED1 Entity disambiguation (via context triple) batch_69d1c45878e481908aa2098eceb44256 completed April 5, 2026, 2:09 a.m.
Created at: March 30, 2026, 8:29 p.m.