Triple

T960863
Position Surface form Disambiguated ID Type / Status
Subject Chad E20731 entity
Predicate nationalLanguage P236 FINISHED
Object Sara
Sara is a language spoken in parts of Central Africa, particularly in Chad.
 E154401 NE FINISHED

How this triple was built (4 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: Sara | Statement: [Chad, nationalLanguage, Sara]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Sara
Context triple: [Chad, nationalLanguage, Sara]
  • A. Sara
    Sara is a feminine given name of Hebrew origin meaning "princess," historically borne by notable figures including Sara Ann Delano Roosevelt, the mother of U.S. President Franklin D. Roosevelt.
  • B. Sally
    Sally is the given name of Sally K. Ride, the American physicist and astronaut who became the first American woman in space.
  • C. Sonia
    Sonia is a central female character in the romantic comedy film "Think Like a Man," whose relationships and personal growth intersect with the movie’s ensemble cast and themes about modern dating.
  • D. Sonia
    Sonia is the given name of Sonia Gandhi, an Italian-born Indian politician and former president of the Indian National Congress.
  • E. Suzanne
    "Suzanne" is a renowned song by Leonard Cohen, celebrated for its poetic lyrics and haunting melody.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Sara
Triple: [Chad, nationalLanguage, Sara]
Generated description
Sara is a language spoken in parts of Central Africa, particularly in Chad.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Sara
Target entity description: Sara is a language spoken in parts of Central Africa, particularly in Chad.
  • A. Sara
    Sara is a feminine given name of Hebrew origin meaning "princess," historically borne by notable figures including Sara Ann Delano Roosevelt, the mother of U.S. President Franklin D. Roosevelt.
  • B. Sally
    Sally is the given name of Sally K. Ride, the American physicist and astronaut who became the first American woman in space.
  • C. Sonia
    Sonia is a central female character in the romantic comedy film "Think Like a Man," whose relationships and personal growth intersect with the movie’s ensemble cast and themes about modern dating.
  • D. Sonia
    Sonia is the given name of Sonia Gandhi, an Italian-born Indian politician and former president of the Indian National Congress.
  • E. Suzanne
    "Suzanne" is a renowned song by Leonard Cohen, celebrated for its poetic lyrics and haunting melody.
  • 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_69a493b21f2881908132dcf45dcd2f36 completed March 1, 2026, 7:29 p.m.
NER Named-entity recognition batch_69a4b4144c208190980936347a95e233 completed March 1, 2026, 9:48 p.m.
NED1 Entity disambiguation (via context triple) batch_69acc605c85881909adc6091bb9d9f8c completed March 8, 2026, 12:42 a.m.
NEDg Description generation batch_69acc71a3e808190aecbb57a64f39b6b completed March 8, 2026, 12:47 a.m.
NED2 Entity disambiguation (via description) batch_69acc88e4ec08190945b366524b83088 completed March 8, 2026, 12:53 a.m.
Created at: March 1, 2026, 7:40 p.m.