Triple

T10443264
Position Surface form Disambiguated ID Type / Status
Subject Warsaw Modlin Airport E246220 entity
Predicate locatedIn P40 FINISHED
Object Nowy Dwór Mazowiecki E405547 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: Nowy Dwór Mazowiecki | Statement: [Warsaw Modlin Airport, locatedIn, Nowy Dwór Mazowiecki]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Nowy Dwór Mazowiecki
Context triple: [Warsaw Modlin Airport, locatedIn, Nowy Dwór Mazowiecki]
  • A. Nowy Dwór Mazowiecki chosen
    Nowy Dwór Mazowiecki is a town in east-central Poland, situated near Warsaw at the confluence of the Vistula and Narew rivers and known for hosting the Warsaw Modlin Airport.
  • B. Tomaszów Mazowiecki
    Tomaszów Mazowiecki is a town in central Poland known for its industrial heritage and proximity to natural attractions, including the Pilica River and the Sulejów Landscape Park.
  • C. Nowy Wiśnicz
    Nowy Wiśnicz is a historic town in southern Poland’s Lesser Poland Voivodeship, known for its well-preserved Renaissance castle and old town.
  • D. Mińsk Mazowiecki
    Mińsk Mazowiecki is a town in east-central Poland that functions as a local urban center within the broader Warsaw metropolitan area.
  • E. Mielec
    Mielec is a town in southeastern Poland known for its aviation industry and manufacturing sector.
  • 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_69d381c04fe08190957c26c526a3b05a completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d4fdbd731c819084dfff83b4481ae8 completed April 7, 2026, 12:51 p.m.
NED1 Entity disambiguation (via context triple) batch_69f74602a7ec8190980e5e6a80aa1235 completed May 3, 2026, 12:56 p.m.
Created at: April 6, 2026, 12:15 p.m.