Triple

T3533586
Position Surface form Disambiguated ID Type / Status
Subject Meissen E74716 entity
Predicate hasTwinTown P919 FINISHED
Object Benešov E227473 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: Benešov | Statement: [Meissen, hasTwinTown, Benešov]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Benešov
Context triple: [Meissen, hasTwinTown, Benešov]
  • A. Benešov chosen
    Benešov is a town in the Czech Republic known as a local administrative and cultural center southeast of Prague.
  • B. Broumov
    Broumov is a historic town in northeastern Bohemia, Czech Republic, known for its Benedictine monastery and proximity to the Broumov Walls sandstone rock formations.
  • C. Blovice
    Blovice is a small town in the Czech Republic that serves as a local administrative and service center in the Plzeň Region.
  • D. Trutnov
    Trutnov is a town in the Czech Republic known as a gateway to the eastern Krkonoše (Giant Mountains) region and for its historical center and industrial heritage.
  • E. Milovice
    Milovice is a town in the Czech Republic known for its rapid post-military redevelopment and location northeast of Prague in the Central Bohemian 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_69ad85d1a3948190931fd1ea1f49717b completed March 8, 2026, 2:21 p.m.
NER Named-entity recognition batch_69adbc9b945481909867d44b810e8b1f completed March 8, 2026, 6:14 p.m.
NED1 Entity disambiguation (via context triple) batch_69b38bcc879c8190ab4ab3e2b67d9a16 completed March 13, 2026, 4 a.m.
Created at: March 8, 2026, 3:19 p.m.