Triple

T20184106
Position Surface form Disambiguated ID Type / Status
Subject The Crimson Fairy Book E492808 entity
Predicate containsTalesFrom P6847 FINISHED
Object France NE NERFINISHED

How this triple was built (3 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: France | Statement: [The Crimson Fairy Book, containsTalesFrom, France]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: France
Context triple: [The Crimson Fairy Book, containsTalesFrom, France]
  • A. France chosen
    France is a major Western European nation known for its influential history, culture, and economy, and as a founding member of the European Union and the United Nations.
  • B. La France
    La France is a renowned sculpture by French artist Antoine Bourdelle that powerfully symbolizes the spirit and identity of France.
  • C. Francia
    Francia is the surname of American rower and two-time Olympic gold medalist Susan Francia.
  • D. Pays Royannais
    Pays Royannais is a coastal area in southwestern France centered around the town of Royan, known for its seaside resorts and Atlantic beaches.
  • E. de France
    "de France" is a dynastic surname historically used by members of the French royal family, particularly the legitimate children of reigning kings of France.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: containsTalesFrom
Context triple: [The Crimson Fairy Book, containsTalesFrom, France]
  • A. hasStandaloneTales
    Indicates that an entity includes or is associated with independent, self-contained stories that can be understood without relying on a larger narrative.
  • B. talesCount
    Indicates the number of tales associated with or attributed to a given entity.
  • C. containsNarrativeOf chosen
    Indicates that one entity includes or presents the story, account, or narrative content of another entity.
  • D. associatedTale
    Indicates that one entity is linked or connected to a particular tale, story, or narrative.
  • E. tellsStoriesIn
    Indicates that one entity narrates or recounts stories within or to the context of another entity (such as a place, group, or medium).
  • 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_69da6268a034819081cbd9ea5a1c9475 completed April 11, 2026, 3:02 p.m.
NER Named-entity recognition batch_69e668f199688190a42094cce220f6f2 completed April 20, 2026, 5:57 p.m.
PD Predicate disambiguation batch_69e55b11124c8190babacf2a0fe2d057 completed April 19, 2026, 10:45 p.m.
Created at: April 11, 2026, 11:36 p.m.