Triple

T17162899
Position Surface form Disambiguated ID Type / Status
Subject Bielany E416525 entity
Predicate terminusOf P3375 FINISHED
Object Młociny metro station E273516 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: Młociny metro station | Statement: [Bielany, terminusOf, Młociny metro station]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Młociny metro station
Context triple: [Bielany, terminusOf, Młociny metro station]
  • A. Młociny metro station chosen
    Młociny metro station is the northern terminus of Line M1 of the Warsaw Metro, serving as a major transport hub in the Bielany district of Warsaw, Poland.
  • B. Kabaty metro station
    Kabaty metro station is the southern terminus of Warsaw Metro Line M1, serving the Kabaty residential district in southern Warsaw.
  • C. Świętokrzyska metro station
    Świętokrzyska metro station is a major interchange station in central Warsaw’s metro system, serving as a key access point to the nearby Palace of Culture and Science.
  • D. Stokłosy metro station
    Stokłosy metro station is a station on Line M1 of the Warsaw Metro serving the Ursynów district in southern Warsaw, Poland.
  • E. Wilanowska metro station
    Wilanowska metro station is a key underground transit stop in Warsaw, Poland, serving the city’s metro network and connecting to surrounding bus and tram routes.
  • 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_69d886d279c081909f8ff1f743ddeb69 completed April 10, 2026, 5:12 a.m.
NER Named-entity recognition batch_69e3f91316108190b0d856d6fa5cd509 completed April 18, 2026, 9:35 p.m.
NED1 Entity disambiguation (via context triple) batch_6a01483969a48190a90268c9560b8cd7 completed May 11, 2026, 3:08 a.m.
Created at: April 10, 2026, 5:37 a.m.