Triple

T19989930
Position Surface form Disambiguated ID Type / Status
Subject Gerland E494033 entity
Predicate hasLandmark P105 FINISHED
Object Sanofi Pasteur facilities NE NERFINISHED

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: Sanofi Pasteur facilities | Statement: [Gerland, hasLandmark, Sanofi Pasteur facilities]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sanofi Pasteur facilities
Context triple: [Gerland, hasLandmark, Sanofi Pasteur facilities]
  • A. Sanofi chosen
    Sanofi is a major French multinational pharmaceutical company known for developing prescription medicines, vaccines, and consumer healthcare products worldwide.
  • B. Lonza
    Lonza is a global Swiss-based life sciences company specializing in pharmaceutical, biotech, and nutrition products and services, particularly in contract development and manufacturing.
  • C. Lonza
    Lonza is a river in the Swiss canton of Valais that flows through the Lötschental valley before joining the Rhône.
  • D. Smith, Kline & French
    Smith, Kline & French was a major 20th-century pharmaceutical company known for developing and marketing important prescription drugs before becoming part of GlaxoSmithKline.
  • E. Arthus-Bertrand
    Arthus-Bertrand is the hyphenated French family name of photographer and environmentalist Yann Arthus-Bertrand, known for his aerial imagery and ecological advocacy.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69da626a67648190af9653832a3aeced completed April 11, 2026, 3:02 p.m.
NER Named-entity recognition batch_69e65fdecf108190a5b215fd25bc4dda completed April 20, 2026, 5:18 p.m.
Created at: April 11, 2026, 3:30 p.m.