Triple

T11058962
Position Surface form Disambiguated ID Type / Status
Subject Huambo E261453 entity
Predicate near P350 FINISHED
Object Bailundo
Bailundo is a town and municipality in central Angola, historically significant as the seat of the Ovimbundu kingdom of Bailundo.
 E902786 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: Bailundo | Statement: [Huambo, near, Bailundo]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Bailundo
Context triple: [Huambo, near, Bailundo]
  • A. Palaonda
    Palaonda is an indoor ice arena in Bolzano, Italy, primarily used for ice hockey and other sporting and entertainment events.
  • B. Tiagu
    Tiagu is an alternative spelling variant of the given name Tiago, commonly used in Portuguese-speaking contexts.
  • C. Dhouti
    Dhouti is an alternative transliteration of Djehuty, the ancient Egyptian deity of wisdom, writing, and knowledge more commonly known as Thoth.
  • D. Lagoona
    Lagoona is a creative work or character whose style and themes are shaped by the fantastical, fairy-filled world and motifs associated with Oberon from literature and mythology.
  • E. Nauta
    Nauta is a small river port town in Peru’s Loreto region, serving as a key gateway for tourism and access to the Pacaya-Samiria National Reserve in the Amazon rainforest.
  • 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: Bailundo
Triple: [Huambo, near, Bailundo]
Generated description
Bailundo is a town and municipality in central Angola, historically significant as the seat of the Ovimbundu kingdom of Bailundo.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Bailundo
Target entity description: Bailundo is a town and municipality in central Angola, historically significant as the seat of the Ovimbundu kingdom of Bailundo.
  • A. Palaonda
    Palaonda is an indoor ice arena in Bolzano, Italy, primarily used for ice hockey and other sporting and entertainment events.
  • B. Tiagu
    Tiagu is an alternative spelling variant of the given name Tiago, commonly used in Portuguese-speaking contexts.
  • C. Dhouti
    Dhouti is an alternative transliteration of Djehuty, the ancient Egyptian deity of wisdom, writing, and knowledge more commonly known as Thoth.
  • D. Lagoona
    Lagoona is a creative work or character whose style and themes are shaped by the fantastical, fairy-filled world and motifs associated with Oberon from literature and mythology.
  • E. Nauta
    Nauta is a small river port town in Peru’s Loreto region, serving as a key gateway for tourism and access to the Pacaya-Samiria National Reserve in the Amazon rainforest.
  • 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_69d6aa98650481908609c7c56bfa7902 completed April 8, 2026, 7:20 p.m.
NER Named-entity recognition batch_69d798a4f3f88190a29710f64cef9d25 completed April 9, 2026, 12:16 p.m.
NED1 Entity disambiguation (via context triple) batch_69e3c87ab0308190a6a6ada1708f0ec2 completed April 18, 2026, 6:07 p.m.
NEDg Description generation batch_69e3cefc00148190a1850dc6e31523c3 completed April 18, 2026, 6:35 p.m.
NED2 Entity disambiguation (via description) batch_69e3d014a644819092c76aa02b573ca9 completed April 18, 2026, 6:40 p.m.
Created at: April 8, 2026, 9:26 p.m.