Triple

T9857336
Position Surface form Disambiguated ID Type / Status
Subject Lublin Airport E239619 entity
Predicate timezone P109 FINISHED
Object Europe/Warsaw E401852 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: Europe/Warsaw | Statement: [Lublin Airport, timezone, Europe/Warsaw]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Europe/Warsaw
Context triple: [Lublin Airport, timezone, Europe/Warsaw]
  • A. Europe/Warsaw chosen
    Europe/Warsaw is the Central European Time zone designation used in Poland, including cities such as Warsaw and Łódź.
  • B. Warsaw
    Warsaw is the capital and largest city of Poland, known for its resilient history, especially its near-total destruction in World War II and subsequent postwar reconstruction.
  • C. Warsaw
    Warsaw is a small city in northern Indiana known as the "Orthopedic Capital of the World" for its concentration of medical device manufacturers.
  • D. Warsaw
    Warsaw was the original name of the English post-punk band that later became known as Joy Division.
  • E. Warsaw metropolitan area
    The Warsaw metropolitan area is the large urban agglomeration centered on Poland’s capital city, encompassing Warsaw and its surrounding suburban and commuter zones.
  • 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_69ca84e6493081909cf58c8d42ea856b completed March 30, 2026, 2:12 p.m.
NER Named-entity recognition batch_69cdb39864188190a2d8c0ee911f00c2 completed April 2, 2026, 12:08 a.m.
NED1 Entity disambiguation (via context triple) batch_69d1e43b2de881909e00f6701d1c7b54 completed April 5, 2026, 4:25 a.m.
Created at: March 30, 2026, 8:35 p.m.