Triple

T17270554
Position Surface form Disambiguated ID Type / Status
Subject Passy E419244 entity
Predicate hasLandmark P105 FINISHED
Object Passy Cemetery E561436 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: Passy Cemetery | Statement: [Passy, hasLandmark, Passy Cemetery]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Passy Cemetery
Context triple: [Passy, hasLandmark, Passy Cemetery]
  • A. Passy Cemetery chosen
    Passy Cemetery is a prestigious Parisian burial ground known for being the final resting place of numerous notable figures, including artists, politicians, and members of royalty.
  • B. Trumpeldor Cemetery
    Trumpeldor Cemetery is a historic Jewish burial ground in central Tel Aviv, Israel, known as the resting place of many prominent Zionist leaders, writers, and cultural figures.
  • C. Loyasse Cemetery
    Loyasse Cemetery is a historic burial ground in Lyon, France, known for its elaborate tombs and as the resting place of many notable local figures.
  • D. Mount Carmel Cemetery
    Mount Carmel Cemetery is a burial ground located in Teaneck, New Jersey, serving as a local cemetery for the surrounding community.
  • E. Mount Carmel Cemetery
    Mount Carmel Cemetery is a major Jewish burial ground in New York City, known for its large size and many notable interments.
  • 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_69d886da626481908a14ce7830329a35 completed April 10, 2026, 5:12 a.m.
NER Named-entity recognition batch_69e42f4917ec819096356ad2ed24d51d completed April 19, 2026, 1:26 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0180d08c9c8190ae139cd92720028a completed May 11, 2026, 7:10 a.m.
Created at: April 10, 2026, 5:40 a.m.