Triple

T6651774
Position Surface form Disambiguated ID Type / Status
Subject Polish–German border E150838 entity
Predicate hasBorderCity P15361 FINISHED
Object Zgorzelec E222843 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: Zgorzelec | Statement: [Polish–German border, hasBorderCity, Zgorzelec]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Zgorzelec
Context triple: [Polish–German border, hasBorderCity, Zgorzelec]
  • A. Zgorzelec chosen
    Zgorzelec is a town in southwestern Poland on the Lusatian Neisse River, forming a twin city with Görlitz in Germany and serving as an important local cultural and transport hub.
  • B. Zagorje
    Zagorje is a picturesque hilly region in northern Croatia known for its rural landscapes, thermal spas, and historic villages.
  • C. Włoszczowa
    Włoszczowa is a town in south-central Poland known as the seat of Włoszczowa County and a local administrative and service center.
  • D. Gnojno
    Gnojno is a village in south-central Poland located within the administrative area of Busko County in the Świętokrzyskie Voivodeship.
  • E. Turośl
    Turośl is a village in northern Poland located within the Warmian-Masurian Voivodeship, a region known for its lakes and forests.
  • 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_69c687f2c9508190a60b9aad31d3f358 completed March 27, 2026, 1:36 p.m.
NER Named-entity recognition batch_69c6b0458fb48190a76d8d1d6273a92b completed March 27, 2026, 4:28 p.m.
NED1 Entity disambiguation (via context triple) batch_69c723b575a08190a3e0b1f233c36ba0 completed March 28, 2026, 12:41 a.m.
Created at: March 27, 2026, 2:01 p.m.