Triple

T11350212
Position Surface form Disambiguated ID Type / Status
Subject Bertrand-Sévère Mascarou-Laurence E268820 entity
Predicate notableAssociatedPlace P10233 FINISHED
Object Lourdes E418856 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: Lourdes | Statement: [Bertrand-Sévère Mascarou-Laurence, notableAssociatedPlace, Lourdes]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lourdes
Context triple: [Bertrand-Sévère Mascarou-Laurence, notableAssociatedPlace, Lourdes]
  • A. Lourdes
    Lourdes is an 1894 novel by Émile Zola that critically explores religious faith, pilgrimage, and alleged miracles surrounding the famous Marian shrine in southwestern France.
  • B. Lourdes chosen
    Lourdes is a town in southwestern France renowned as a major Catholic pilgrimage site associated with Marian apparitions and reputed healing waters.
  • C. Lourdes
    Lourdes is a member of the 2nd Massachusetts Militia Regiment, a historic military unit associated with the U.S. state of Massachusetts.
  • D. Lourdes
    Lourdes is a given name most notably associated with the Cuban baseball player and coach Lourdes Gourriel.
  • E. Lourdes
    Lourdes is a teenage witch character in the 2020 supernatural horror film "The Craft: Legacy," serving as one of the members of the new coven.
  • 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_69d6aacbe18081909e5fadb50082dd96 completed April 8, 2026, 7:21 p.m.
NER Named-entity recognition batch_69d7ea23391c819089e8f9725cb3a0ff completed April 9, 2026, 6:04 p.m.
NED1 Entity disambiguation (via context triple) batch_69e5e8b19b1c8190bc9147a9fc73e35b completed April 20, 2026, 8:49 a.m.
Created at: April 8, 2026, 9:33 p.m.