Triple

T1018105
Position Surface form Disambiguated ID Type / Status
Subject Louise de La Vallière E21977 entity
Predicate placeOfBirth P1 FINISHED
Object Tours E62660 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: Tours | Statement: [Louise de La Vallière, placeOfBirth, Tours]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tours
Context triple: [Louise de La Vallière, placeOfBirth, Tours]
  • A. Tours
    Tours is a historic city in central France’s Loire Valley, known for its medieval old town, proximity to famous châteaux, and role as a regional transport and cultural hub.
  • B. Tours, France chosen
    Tours, France is a historic city in the Loire Valley known for its medieval old town, Renaissance architecture, and role as a cultural and economic center of central France.
  • C. Tour Voile
    Tour Voile is a prominent annual offshore sailing race in France featuring multihull and monohull competitions along the French coastline.
  • D. Wikivoyage
    Wikivoyage is a free, collaboratively edited online travel guide that provides up-to-date information and tips for destinations around the world.
  • E. Universal Destinations & Experiences
    Universal Destinations & Experiences is the theme park and resort division of NBCUniversal that develops and operates Universal-branded entertainment destinations worldwide.
  • 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_69a493c68e24819080ed0ee8bcfd5ce0 completed March 1, 2026, 7:30 p.m.
NER Named-entity recognition batch_69a4b7c6005081909d9e56114c532d14 completed March 1, 2026, 10:03 p.m.
NED1 Entity disambiguation (via context triple) batch_69ac3bb423fc8190af65e94f8e2e75d0 completed March 7, 2026, 2:52 p.m.
Created at: March 1, 2026, 7:41 p.m.