Triple

T15499333
Position Surface form Disambiguated ID Type / Status
Subject Duke of Sieradz E378907 entity
Predicate governs P760 FINISHED
Object Sieradz land E360770 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: Sieradz land | Statement: [Duke of Sieradz, governs, Sieradz land]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sieradz land
Context triple: [Duke of Sieradz, governs, Sieradz land]
  • A. Sieradz
    Sieradz is one of the oldest towns in central Poland, historically significant as a regional center and former royal city.
  • B. Sieradz Land chosen
    Sieradz Land is a historical region in central Poland that formed part of the medieval Polish kingdom and later administrative divisions.
  • C. Pruzhany
    Pruzhany is a historic town in western Belarus known for its cultural heritage and role as a local administrative and economic center.
  • D. Wawer
    Wawer is a district in southeastern Warsaw, Poland, historically known as the site of a notorious World War II Nazi massacre of Polish civilians.
  • E. Nowogródek
    Nowogródek is a historic town in present-day western Belarus, formerly part of the Polish eastern borderlands (Kresy), known for its multicultural heritage and association with the poet Adam Mickiewicz.
  • 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_69d85cd53a7c819080f5b9042c4c199e completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69e03fcb4e8c81908e4ab463e3ae252b completed April 16, 2026, 1:47 a.m.
NED1 Entity disambiguation (via context triple) batch_69ffa121f814819096a69cf5ef0003ee completed May 9, 2026, 9:03 p.m.
Created at: April 10, 2026, 3:54 a.m.