Triple

T5448104
Position Surface form Disambiguated ID Type / Status
Subject Le Duan E122298 entity
Predicate burialPlace P196 FINISHED
Object Mai Dich Cemetery E31364 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: Mai Dich Cemetery | Statement: [Le Duan, burialPlace, Mai Dich Cemetery]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mai Dich Cemetery
Context triple: [Le Duan, burialPlace, Mai Dich Cemetery]
  • A. Mai Dich Cemetery chosen
    Mai Dich Cemetery is a prominent national cemetery in Hanoi, Vietnam, where many high-ranking Communist Party and state leaders are buried.
  • B. 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.
  • C. Anif Cemetery
    Anif Cemetery is the local burial ground serving the municipality of Anif in the Salzburg region of Austria.
  • D. Errancis Cemetery
    Errancis Cemetery was a former Parisian burial ground best known as the temporary resting place of many victims of the French Revolution, including Maximilien Robespierre.
  • E. Karet Bivak Cemetery
    Karet Bivak Cemetery is a major public cemetery in Jakarta, Indonesia, known as the resting place of numerous prominent national figures.
  • 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_69bd4640f52c81909e653ec361f66d76 completed March 20, 2026, 1:06 p.m.
NER Named-entity recognition batch_69bd91dbfd948190977513cf274af417 completed March 20, 2026, 6:28 p.m.
NED1 Entity disambiguation (via context triple) batch_69bf4137ecf881908f3f036457b59281 completed March 22, 2026, 1:09 a.m.
Created at: March 20, 2026, 2:07 p.m.