Triple

T21751871
Position Surface form Disambiguated ID Type / Status
Subject Fleur de Figuier E536933 entity
Predicate hasKeyNote P145231 FINISHED
Object fig 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: fig | Statement: [Fleur de Figuier, hasKeyNote, fig]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasKeyNote
Context triple: [Fleur de Figuier, hasKeyNote, fig]
  • A. hasKeynoteDate
    Indicates the date on which a keynote event or keynote speech is scheduled or occurs.
  • B. hasKeyNotion
    Indicates that one entity embodies or contains a central or fundamental concept relevant to another entity.
  • C. notableKey
    Indicates that the referenced key is of particular importance or prominence compared to other keys in the same context.
  • D. hasKeyWork
    Indicates that an entity possesses or is associated with a primary or central work (such as a main publication, artwork, or project) that is especially representative or important.
  • E. hasNotableSpeaker
    Indicates that an event, gathering, or occasion features a speaker who is distinguished or noteworthy in some significant way.
  • F. None of above. chosen

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_69e0c46eab808190b848242d63a17c47 completed April 16, 2026, 11:13 a.m.
NER Named-entity recognition batch_69f01d8a6d4881908cc69e7247cce3a5 completed April 28, 2026, 2:38 a.m.
PD Predicate disambiguation batch_69e6969c16fc8190b5126c169317d85d completed April 20, 2026, 9:11 p.m.
PDg Predicate description generation batch_69e69f3ed4408190a4a78410bf660c44 completed April 20, 2026, 9:48 p.m.
Created at: April 16, 2026, 6:50 p.m.