Triple

T6848505
Position Surface form Disambiguated ID Type / Status
Subject Muhammad Ali of Egypt E157954 entity
Predicate sentStudentsTo P72577 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: [Muhammad Ali of Egypt, sentStudentsTo, France]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: France
Context triple: [Muhammad Ali of Egypt, sentStudentsTo, 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: sentStudentsTo
Context triple: [Muhammad Ali of Egypt, sentStudentsTo, France]
  • A. hasStudents
    Indicates that an entity (such as a class, school, or teacher) is associated with one or more students.
  • B. drawsStudentsFrom
    Indicates that an institution or program attracts and enrolls students originating from a particular source, place, or group.
  • C. studentsPerformAt
    Indicates that students carry out or present a performance, activity, or task at a particular event, venue, or context.
  • D. admittedStudents
    Indicates that certain students have been officially accepted or granted admission to an institution, program, or course.
  • E. hasDayStudents
    Indicates that an educational institution has students who attend during the day but do not reside on campus.
  • 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_69c6882ed4c081909dc465a7cf8838be completed March 27, 2026, 1:37 p.m.
NER Named-entity recognition batch_69c6d7ce3e7481908e0472b8faafa473 completed March 27, 2026, 7:17 p.m.
NED1 Entity disambiguation (via context triple) batch_69c72fab60708190825876e5715c0cc4 completed March 28, 2026, 1:32 a.m.
PD Predicate disambiguation batch_69c6d0a12834819097d7e6c0b823745e completed March 27, 2026, 6:46 p.m.
PDg Predicate description generation batch_69c6d1668a7c8190ae93951f9ba2df10 completed March 27, 2026, 6:50 p.m.
Created at: March 27, 2026, 2:20 p.m.