Triple

T5612815
Position Surface form Disambiguated ID Type / Status
Subject President of Madagascar E147398 entity
Predicate nativeLabel P657 FINISHED
Object Filohan’i Madagasikara
Filohan’i Madagasikara is the Malagasy term for the head of state and government of the Republic of Madagascar.
 E533950 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: Filohan’i Madagasikara | Statement: [President of Madagascar, nativeLabel, Filohan’i Madagasikara]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Filohan’i Madagasikara
Context triple: [President of Madagascar, nativeLabel, Filohan’i Madagasikara]
  • A. Savusavu
    Savusavu is a small coastal town on the island of Vanua Levu in Fiji, known for its sheltered bay, hot springs, and popularity as a yachting and diving destination.
  • B. Rahaita
    Rahaita is a settlement located in Eritrea's Southern Red Sea Region, along the country's arid Red Sea coastal area.
  • C. Lomanikoro
    Lomanikoro is a village located on Kadavu Island in Fiji.
  • D. Anjara
    Anjara is a town in northern Jordan situated within the hilly, forested region of Ajloun, known for its Christian pilgrimage sites and scenic landscapes.
  • E. Matsigenka
    The Matsigenka are an Indigenous people of the Peruvian Amazon known for their forest-based subsistence lifestyle, distinct language, and rich shamanic and cosmological traditions.
  • 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: Filohan’i Madagasikara
Triple: [President of Madagascar, nativeLabel, Filohan’i Madagasikara]
Generated description
Filohan’i Madagasikara is the Malagasy term for the head of state and government of the Republic of Madagascar.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Filohan’i Madagasikara
Target entity description: Filohan’i Madagasikara is the Malagasy term for the head of state and government of the Republic of Madagascar.
  • A. Savusavu
    Savusavu is a small coastal town on the island of Vanua Levu in Fiji, known for its sheltered bay, hot springs, and popularity as a yachting and diving destination.
  • B. Rahaita
    Rahaita is a settlement located in Eritrea's Southern Red Sea Region, along the country's arid Red Sea coastal area.
  • C. Lomanikoro
    Lomanikoro is a village located on Kadavu Island in Fiji.
  • D. Anjara
    Anjara is a town in northern Jordan situated within the hilly, forested region of Ajloun, known for its Christian pilgrimage sites and scenic landscapes.
  • E. Matsigenka
    The Matsigenka are an Indigenous people of the Peruvian Amazon known for their forest-based subsistence lifestyle, distinct language, and rich shamanic and cosmological traditions.
  • 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_69c00905d4588190bd967842bbcf2219 completed March 22, 2026, 3:21 p.m.
NER Named-entity recognition batch_69c0212143708190b5234407334ab216 completed March 22, 2026, 5:04 p.m.
NED1 Entity disambiguation (via context triple) batch_69c0287b14708190bc246e982896ad27 completed March 22, 2026, 5:35 p.m.
NEDg Description generation batch_69c03f8b6e948190870b98d6d69193fe completed March 22, 2026, 7:14 p.m.
NED2 Entity disambiguation (via description) batch_69c0404f0a3081908850794f9a5cea40 completed March 22, 2026, 7:17 p.m.
Created at: March 22, 2026, 3:39 p.m.