Triple

T14616041
Position Surface form Disambiguated ID Type / Status
Subject Bengo Province E343087 entity
Predicate capital P234 FINISHED
Object Caxito
Caxito is a town in northwestern Angola that serves as the administrative and economic center of Bengo Province.
 E1110094 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: Caxito | Statement: [Bengo Province, capital, Caxito]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Caxito
Context triple: [Bengo Province, capital, Caxito]
  • A. Guarijío
    Guarijío is an indigenous Uto-Aztecan language spoken by the Guarijío people of northern Mexico, particularly in the states of Chihuahua and Sonora.
  • B. Caxangá
    Caxangá is a neighborhood and important urban area within the city of Recife, Brazil.
  • C. Chacala
    Chacala is a small coastal village and beach destination on Mexico’s Pacific coast in the state of Nayarit, known for its tranquil atmosphere, surfing, and ecotourism.
  • D. Sibaté
    Sibaté is a municipality in central Colombia known for its agricultural production and proximity to Bogotá within the Cundinamarca Department.
  • E. Zaachila
    Zaachila is a pre-Hispanic Zapotec archaeological site in the state of Oaxaca, Mexico, known for its ancient tombs and richly decorated funerary art.
  • 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: Caxito
Triple: [Bengo Province, capital, Caxito]
Generated description
Caxito is a town in northwestern Angola that serves as the administrative and economic center of Bengo Province.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Caxito
Target entity description: Caxito is a town in northwestern Angola that serves as the administrative and economic center of Bengo Province.
  • A. Guarijío
    Guarijío is an indigenous Uto-Aztecan language spoken by the Guarijío people of northern Mexico, particularly in the states of Chihuahua and Sonora.
  • B. Caxangá
    Caxangá is a neighborhood and important urban area within the city of Recife, Brazil.
  • C. Chacala
    Chacala is a small coastal village and beach destination on Mexico’s Pacific coast in the state of Nayarit, known for its tranquil atmosphere, surfing, and ecotourism.
  • D. Sibaté
    Sibaté is a municipality in central Colombia known for its agricultural production and proximity to Bogotá within the Cundinamarca Department.
  • E. Zaachila
    Zaachila is a pre-Hispanic Zapotec archaeological site in the state of Oaxaca, Mexico, known for its ancient tombs and richly decorated funerary art.
  • 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_69d822dec68081908c2553145c4051dc completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69deb46439b88190a4affcc7ccedab6b completed April 14, 2026, 9:40 p.m.
NED1 Entity disambiguation (via context triple) batch_69fda922f29c8190af98a8241d86f7cd completed May 8, 2026, 9:13 a.m.
NEDg Description generation batch_69fdb26b3ec481909c37e56eca8c7a82 completed May 8, 2026, 9:52 a.m.
NED2 Entity disambiguation (via description) batch_69fdb34d945c8190a464c0d4e5612ceb completed May 8, 2026, 9:56 a.m.
Created at: April 10, 2026, 1:25 a.m.