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.