Triple

T6649751
Position Surface form Disambiguated ID Type / Status
Subject France Football E150789 entity
Predicate hasCirculationArea P72063 FINISHED
Object France E861 NE FINISHED

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: [France Football, hasCirculationArea, France]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: France
Context triple: [France Football, hasCirculationArea, 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. Lafrançaise, France
    Lafrançaise is a small commune in the Tarn-et-Garonne department of southern France, known for its rural charm and traditional French village atmosphere.
  • C. France Ô
    France Ô was a French public television channel dedicated to programming from France’s overseas departments and territories, operated by the France Télévisions group.
  • D. France and Germany
    France and Germany are two major neighboring European countries that share deep historical ties, a central role in the European Union, and a long land border.
  • E. France 5
    France 5 is a French public television channel known for its focus on educational, cultural, and documentary programming.
  • 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: hasCirculationArea
Context triple: [France Football, hasCirculationArea, France]
  • A. hasCollectionArea
    Indicates that an entity is associated with a specific geographic or spatial area from which items, specimens, or data are collected.
  • B. hasAreaType
    Indicates that an entity is associated with a specific kind or classification of area (e.g., urban, rural, coastal).
  • C. hasAreaRange
    Indicates that something’s area falls within a specified minimum-to-maximum range.
  • D. hasExhibitionArea
    Indicates that an entity includes or provides a designated space or area for exhibitions or displays.
  • E. hasLandmarkArea
    Indicates that a specified area is designated as the landmark area associated with a particular entity or location.
  • F. None of above. chosen

Provenance (5 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_69c687f2c9508190a60b9aad31d3f358 completed March 27, 2026, 1:36 p.m.
NER Named-entity recognition batch_69c6cc9c6cb0819084fec8e0beb430de completed March 27, 2026, 6:29 p.m.
NED1 Entity disambiguation (via context triple) batch_69c6eee3e2d08190b5cb503facf68818 completed March 27, 2026, 8:56 p.m.
PD Predicate disambiguation batch_69c6ad04d66c8190926ffcbff372643b completed March 27, 2026, 4:15 p.m.
PDg Predicate description generation batch_69c6cc988c0081909d22b86ca299331c completed March 27, 2026, 6:29 p.m.
Created at: March 27, 2026, 2:01 p.m.