Triple

T19989929
Position Surface form Disambiguated ID Type / Status
Subject Gerland E494033 entity
Predicate hasLandmark P105 FINISHED
Object Lyonbiopôle 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: Lyonbiopôle | Statement: [Gerland, hasLandmark, Lyonbiopôle]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lyonbiopôle
Context triple: [Gerland, hasLandmark, Lyonbiopôle]
  • A. Gerland biotechnology district chosen
    Gerland biotechnology district is a major life sciences and research hub in Lyon, France, hosting numerous biotech companies, laboratories, and academic institutions.
  • B. Lyon research center
    The Lyon research center is a major French Petroleum Institute facility specializing in research and development in petroleum, energy, and related technologies.
  • C. Technopôle
    Technopôle is a tramway terminus in Rouen, France, serving a technology and business park area.
  • D. Lyon Sud – Charles Mérieux campus
    Lyon Sud – Charles Mérieux campus is a major health and medical sciences campus of Claude Bernard University Lyon 1, hosting faculties, research facilities, and clinical training centers in the Lyon metropolitan area.
  • E. Saclay
    Saclay is a French commune in the Île-de-France region, known for hosting part of the Paris-Saclay research and university cluster.
  • 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.