Triple

T5608901
Position Surface form Disambiguated ID Type / Status
Subject Leonding E147302 entity
Predicate hasLandmark P105 FINISHED
Object Leonding cemetery E166864 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: Leonding cemetery | Statement: [Leonding, hasLandmark, Leonding cemetery]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Leonding cemetery
Context triple: [Leonding, hasLandmark, Leonding cemetery]
  • A. Leonding cemetery chosen
    Leonding cemetery is a burial ground in Leonding, Austria, known notably as the former resting place of Alois Hitler, the father of Adolf Hitler.
  • B. Zorgvlied Cemetery
    Zorgvlied Cemetery is a well-known Dutch cemetery near Amsterdam, noted as the final resting place of many prominent figures including Nobel laureate Christiaan Eijkman.
  • C. 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.
  • D. Karet Bivak Cemetery
    Karet Bivak Cemetery is a major public cemetery in Jakarta, Indonesia, known as the resting place of numerous prominent national 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_69c0090500f881908374285baf0ac46f completed March 22, 2026, 3:21 p.m.
NER Named-entity recognition batch_69c020fe7ee0819088ced51afd9a4f93 completed March 22, 2026, 5:03 p.m.
NED1 Entity disambiguation (via context triple) batch_69c05a074b7c8190ab70dde6f35f84d6 completed March 22, 2026, 9:07 p.m.
Created at: March 22, 2026, 3:39 p.m.