Triple

T5234252
Position Surface form Disambiguated ID Type / Status
Subject Bitterfeld-Wolfen E118183 entity
Predicate hasTwinTown P919 FINISHED
Object Dzierżoniów E508477 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: Dzierżoniów | Statement: [Bitterfeld-Wolfen, hasTwinTown, Dzierżoniów]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Dzierżoniów
Context triple: [Bitterfeld-Wolfen, hasTwinTown, Dzierżoniów]
  • A. Dzierżoniów chosen
    Dzierżoniów is a town in southwestern Poland known for its historical architecture and location in the Lower Silesian region.
  • B. Działdowo
    Działdowo is a town in northern Poland known for its historical significance and location within the Warmian-Masurian Voivodeship.
  • C. Radziejowa
    Radziejowa is a prominent mountain peak in southern Poland, known for its forested slopes, scenic views, and status as the highest summit of the Beskid Sądecki range.
  • D. Radziejów
    Radziejów is a small historic town in north-central Poland, located in the Kuyavian region and known for its medieval origins and local administrative role.
  • E. Chorobrów
    Chorobrów is a village in western Ukraine, historically part of the region of Galicia.
  • 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_69bd4467db0881909b3b0982df32cc8f completed March 20, 2026, 12:58 p.m.
NER Named-entity recognition batch_69bd7b04c03481908d901788ce2c4128 completed March 20, 2026, 4:51 p.m.
NED1 Entity disambiguation (via context triple) batch_69bf10ca0a1c8190a3cc0537886281e5 completed March 21, 2026, 9:42 p.m.
Created at: March 20, 2026, 1:49 p.m.