Triple

T2807393
Position Surface form Disambiguated ID Type / Status
Subject Jadwiga Piłsudska E54084 entity
Predicate burialPlace P196 FINISHED
Object Powązki Cemetery E197774 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: Powązki Cemetery | Statement: [Jadwiga Piłsudska, burialPlace, Powązki Cemetery]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Powązki Cemetery
Context triple: [Jadwiga Piłsudska, burialPlace, Powązki Cemetery]
  • A. Powązki Cemetery chosen
    Powązki Cemetery is one of Warsaw’s oldest and most renowned necropolises, serving as the resting place of many prominent Polish figures.
  • B. Rakowicki Cemetery
    Rakowicki Cemetery is a historic 19th-century necropolis in Kraków, Poland, known as the resting place of many notable Polish figures.
  • C. Prazeres Cemetery
    Prazeres Cemetery is a historic and monumental cemetery in Lisbon, Portugal, known for its elaborate mausoleums and as the resting place of many notable Portuguese figures.
  • D. Rasos Cemetery
    Rasos Cemetery is one of the oldest and most famous historic cemeteries in Vilnius, Lithuania, known for being the resting place of many notable Polish and Lithuanian figures.
  • E. Anif Cemetery
    Anif Cemetery is the local burial ground serving the municipality of Anif in the Salzburg region of Austria.
  • 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_69ab49dcee188190b5c6eca9ae9e3469 completed March 6, 2026, 9:40 p.m.
NER Named-entity recognition batch_69abde2ec2ac8190bd702ad3eafb6aed completed March 7, 2026, 8:13 a.m.
NED1 Entity disambiguation (via context triple) batch_69afc678d6488190be73244b7e78f30c completed March 10, 2026, 7:21 a.m.
Created at: March 6, 2026, 9:59 p.m.