Triple

T3853356
Position Surface form Disambiguated ID Type / Status
Subject Têt E85350 entity
Predicate hasMouthInCountry P33078 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: [Têt, hasMouthInCountry, France]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: France
Context triple: [Têt, hasMouthInCountry, 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. 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.
  • C. 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.
  • D. France 5
    France 5 is a French public television channel known for its focus on educational, cultural, and documentary programming.
  • E. France 4
    France 4 is a French public television channel, part of the France Télévisions group, known for broadcasting youth-oriented and family entertainment 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: hasMouthInCountry
Context triple: [Têt, hasMouthInCountry, France]
  • A. countryOfMouth chosen
    Indicates the country in which a river’s mouth (where it empties into another body of water) is located.
  • B. hasCountry
    Indicates that one entity possesses, is associated with, or is located within a specific country.
  • C. mouthOf
    Indicates the location where one entity (typically a river or similar feature) empties into or opens out into another, larger body or feature.
  • D. meetsInCountry
    Indicates that two or more entities have an in-person meeting that takes place within the specified country.
  • E. countryOfSpeaker
    Indicates that a person or group is from, associated with, or represents a particular country as a speaker.
  • 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_69aed936de1c81908f91bed80f70abb2 completed March 9, 2026, 2:29 p.m.
NER Named-entity recognition batch_69aeec0438308190865ff74bee5a1cf2 completed March 9, 2026, 3:49 p.m.
NED1 Entity disambiguation (via context triple) batch_69b5121874e8819088f79e1cf771a73a completed March 14, 2026, 7:45 a.m.
PD Predicate disambiguation batch_69aee750377c8190af70c79768c0edd8 completed March 9, 2026, 3:29 p.m.
Created at: March 9, 2026, 3:19 p.m.