Triple

T25090613
Position Surface form Disambiguated ID Type / Status
Subject Musée Champollion – Les Écritures du Monde E628444 entity
Predicate thematic P28568 FINISHED
Object decipherment of scripts 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: decipherment of scripts | Statement: [Musée Champollion – Les Écritures du Monde, thematic, decipherment of scripts]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: thematic
Context triple: [Musée Champollion – Les Écritures du Monde, thematic, decipherment of scripts]
  • A. thematicConcept
    Indicates that one entity embodies, expresses, or is centrally concerned with a particular underlying theme or conceptual idea represented by the other entity.
  • B. theme
    Indicates the entity that is the primary participant or content affected or characterized by an action, event, or state.
  • C. thematicFunction
    Indicates how an entity participates in or contributes to the role structure of an event or situation (e.g., as agent, patient, instrument, etc.).
  • D. thematicMaterial
    Indicates that one entity serves as the primary recurring idea, motif, or thematic content that is developed or referenced by another entity.
  • E. thematicArea chosen
    Indicates the subject or item is associated with, or falls under, a particular thematic area or topic of focus.
  • 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_69e2ff2f58e881908340527bc5d34f07 completed April 18, 2026, 3:49 a.m.
NER Named-entity recognition batch_69f461e9b06c8190a44fd097da84c7cb completed May 1, 2026, 8:18 a.m.
PD Predicate disambiguation batch_69f44d8043b081908bbffd7f044b4f26 completed May 1, 2026, 6:51 a.m.
Created at: April 18, 2026, 6:24 a.m.