Triple

T3173662
Position Surface form Disambiguated ID Type / Status
Subject French grandes écoles E66410 entity
Predicate notableFieldCluster P39276 FINISHED
Object écoles d’ingénieurs LITERAL 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: écoles d’ingénieurs | Statement: [French grandes écoles, notableFieldCluster, écoles d’ingénieurs]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: notableFieldCluster
Context triple: [French grandes écoles, notableFieldCluster, écoles d’ingénieurs]
  • A. notableField chosen
    Indicates the field, discipline, or area of activity for which an entity is especially known or distinguished.
  • B. notableCenter
    Indicates that an entity is recognized as an important or prominent central point, hub, or focal location for another entity or activity.
  • C. notableTarget
    Indicates that the subject is particularly significant, prominent, or noteworthy with respect to the specified target.
  • D. notableIndexFamily
    Indicates that an entity is recognized as a particularly important or prominent member within a specified family group.
  • E. notableFinding
    Indicates that an observation, result, or piece of evidence is considered significant or noteworthy in the given context.
  • F. None of above.

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_69ad8586a34c8190944c63ec11a8de1a completed March 8, 2026, 2:19 p.m.
NER Named-entity recognition batch_69ada66facf881908b9ec687d68ce91b completed March 8, 2026, 4:40 p.m.
PD Predicate disambiguation batch_69ad9e0076b4819094628f1ad10b8f68 completed March 8, 2026, 4:04 p.m.
Created at: March 8, 2026, 3:06 p.m.