Triple

T38387832
Position Surface form Disambiguated ID Type / Status
Subject Cloches à travers les feuilles E899626 entity
Predicate followedByInSet P194134 FINISHED
Object Poissons d’or E899627 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: Poissons d’or | Statement: [Cloches à travers les feuilles, followedByInSet, Poissons d’or]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: followedByInSet
Context triple: [Cloches à travers les feuilles, followedByInSet, Poissons d’or]
  • A. followedByInSequence
    Indicates that one event or element directly succeeds another in an ordered sequence.
  • B. followedByInContext chosen
    Indicates that one element directly succeeds another within a specific contextual sequence or ordering.
  • C. followedByClass
    Indicates that one class or type is immediately succeeded by another class or type in a defined sequence or ordering.
  • D. followedByComponent
    Indicates that one component directly succeeds another component in a defined sequence or order.
  • E. followsIn
    Indicates that one entity comes after or succeeds another in a sequence, order, or progression.
  • F. None of above.

Provenance (4 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_69f76e5c9b808190b486523f5c2f817d completed May 3, 2026, 3:48 p.m.
NER Named-entity recognition batch_69ffa9677be08190852c8ef6c2545fed completed May 9, 2026, 9:38 p.m.
NED1 Entity disambiguation (via context triple) batch_6a41b2acf9f08190a8334729b9df8665 completed June 28, 2026, 11:47 p.m.
PD Predicate disambiguation batch_69ffa6570e2c8190a9d7b37f12b91d9a completed May 9, 2026, 9:25 p.m.
Created at: May 3, 2026, 4:31 p.m.