Triple

T6884881
Position Surface form Disambiguated ID Type / Status
Subject Lauenburg in Pommern E158892 entity
Predicate presentDayName P11890 FINISHED
Object Lębork E284885 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: Lębork | Statement: [Lauenburg in Pommern, presentDayName, Lębork]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lębork
Context triple: [Lauenburg in Pommern, presentDayName, Lębork]
  • A. Lębork chosen
    Lębork is a historic town in northern Poland known for its medieval architecture and location near the Baltic coast.
  • B. Olsztynek
    Olsztynek is a small historic town in northern Poland known for its open-air ethnographic museum and location within the picturesque Warmian-Masurian lake district.
  • C. Łeba
    Łeba is a river in northern Poland that flows through the Pomeranian region to the Baltic Sea.
  • D. Bartoszyce
    Bartoszyce is a town in northern Poland known for its historical architecture and location near the border with Russia’s Kaliningrad Oblast.
  • E. Racibórz
    Racibórz is a historic town in southern Poland, located in the Silesian region near the Czech border, known for its medieval heritage and industrial traditions.
  • 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_69c688342f6c8190ad7eea6ba262db99 completed March 27, 2026, 1:37 p.m.
NER Named-entity recognition batch_69c6d90a2590819092ff253dd66ebe8b completed March 27, 2026, 7:22 p.m.
NED1 Entity disambiguation (via context triple) batch_69d74fa545b8819092809c605542476a completed April 9, 2026, 7:05 a.m.
Created at: March 27, 2026, 2:23 p.m.