Triple

T4301193
Position Surface form Disambiguated ID Type / Status
Subject Hautes-Pyrénées E99839 entity
Predicate contains P35 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: [Hautes-Pyrénées, contains, Lourdes]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lourdes
Context triple: [Hautes-Pyrénées, contains, Lourdes]
  • A. 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.
  • B. 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.
  • C. Lourdes chosen
    Lourdes is a town in southwestern France renowned as a major Catholic pilgrimage site associated with Marian apparitions and reputed healing waters.
  • D. Kalé
    The Kalé are a subgroup of the Romani people, traditionally found in the Iberian Peninsula and known for their distinct language varieties and cultural practices.
  • E. Saintes-Maries-de-la-Mer
    Saintes-Maries-de-la-Mer is a coastal town in southern France known as a pilgrimage site and seaside resort at the edge of the Camargue wetlands.
  • 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_69b345528ebc8190b5abc7e95094792d completed March 12, 2026, 10:59 p.m.
NER Named-entity recognition batch_69b3509fb2b88190a13ab88a5b924052 completed March 12, 2026, 11:47 p.m.
NED1 Entity disambiguation (via context triple) batch_69b5c74d59688190820cef42c4228a3a completed March 14, 2026, 8:38 p.m.
Created at: March 12, 2026, 11:08 p.m.