Triple

T17449241
Position Surface form Disambiguated ID Type / Status
Subject Leonila Dimataga E424867 entity
Predicate familyName P18 FINISHED
Object Dimataga
Dimataga is a Filipino surname associated with notable public figures, including political personalities such as Leonila Dimataga.
E1272226 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: Dimataga | Statement: [Leonila Dimataga, familyName, Dimataga]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Dimataga
Context triple: [Leonila Dimataga, familyName, Dimataga]
  • A. Marondera
    Marondera is a town in eastern Zimbabwe known as an agricultural and educational center within the Mashonaland region.
  • B. Tete
    Tete is a city in western Mozambique on the Zambezi River, known as a regional trade center and the capital of Tete Province.
  • C. Zomba
    Zomba is a historic city in southern Malawi that served as the country’s former capital and remains an important administrative and educational center.
  • D. Mueda
    Mueda is a town in northern Mozambique known as a historical center of Makonde culture and the site of the pivotal 1960 Mueda massacre that helped spark the Mozambican independence struggle.
  • E. Chegutu
    Chegutu is a town in central northern Zimbabwe known for its agricultural activities and gold mining.
  • 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: Dimataga
Triple: [Leonila Dimataga, familyName, Dimataga]
Generated description
Dimataga is a Filipino surname associated with notable public figures, including political personalities such as Leonila Dimataga.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Dimataga
Target entity description: Dimataga is a Filipino surname associated with notable public figures, including political personalities such as Leonila Dimataga.
  • A. Marondera
    Marondera is a town in eastern Zimbabwe known as an agricultural and educational center within the Mashonaland region.
  • B. Tete
    Tete is a city in western Mozambique on the Zambezi River, known as a regional trade center and the capital of Tete Province.
  • C. Zomba
    Zomba is a historic city in southern Malawi that served as the country’s former capital and remains an important administrative and educational center.
  • D. Mueda
    Mueda is a town in northern Mozambique known as a historical center of Makonde culture and the site of the pivotal 1960 Mueda massacre that helped spark the Mozambican independence struggle.
  • E. Chegutu
    Chegutu is a town in central northern Zimbabwe known for its agricultural activities and gold mining.
  • 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_69d889db0ba481908402409af3b37917 completed April 10, 2026, 5:25 a.m.
NER Named-entity recognition batch_69e4513b99908190a6b5833559856c8b completed April 19, 2026, 3:51 a.m.
NED1 Entity disambiguation (via context triple) batch_6a01c1f2b9a4819085d8ce97ad2935eb completed May 11, 2026, 11:48 a.m.
NEDg Description generation batch_6a01c3a2393c81909b2137d94d522ca7 completed May 11, 2026, 11:55 a.m.
NED2 Entity disambiguation (via description) batch_6a01c459b2b48190ba00d53c4477f54e completed May 11, 2026, 11:58 a.m.
Created at: April 10, 2026, 5:47 a.m.