Triple

T6669540
Position Surface form Disambiguated ID Type / Status
Subject PZL Warszawa-Okęcie E151689 entity
Predicate basedInDistrict P29284 FINISHED
Object Okęcie E610242 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: Okęcie | Statement: [PZL Warszawa-Okęcie, basedInDistrict, Okęcie]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Okęcie
Context triple: [PZL Warszawa-Okęcie, basedInDistrict, Okęcie]
  • A. Okęcie chosen
    Okęcie is a district in Warsaw, Poland, best known for hosting the city’s main international airport and various aviation-related facilities.
  • B. Mokotów
    Mokotów is a large, centrally located district of Warsaw known for its residential neighborhoods, parks, and business centers.
  • C. Ujazdów
    Ujazdów is a historic neighborhood in central Warsaw, known for its palaces, government buildings, and extensive green areas including parks and gardens.
  • D. Łeba
    Łeba is a river in northern Poland that flows through the Pomeranian region to the Baltic Sea.
  • E. Maków Podhalański
    Maków Podhalański is a small town in southern Poland, situated in the Lesser Poland Voivodeship and known as a local center in the mountainous Beskid region.
  • 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_69c687f71fc081909dbd45d6377f6045 completed March 27, 2026, 1:36 p.m.
NER Named-entity recognition batch_69c6b0c7d9148190b3fbb870851d917b completed March 27, 2026, 4:31 p.m.
NED1 Entity disambiguation (via context triple) batch_69c6f79f1718819098d8a6d08bf7f919 completed March 27, 2026, 9:33 p.m.
Created at: March 27, 2026, 2:02 p.m.