Triple

T10650392
Position Surface form Disambiguated ID Type / Status
Subject Barotseland E250951 entity
Predicate majorTown P316 FINISHED
Object Kalabo
Kalabo is a significant town in western Zambia’s Barotseland region, serving as a local administrative and commercial center near the Zambezi floodplains.
 E877253 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: Kalabo | Statement: [Barotseland, majorTown, Kalabo]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Kalabo
Context triple: [Barotseland, majorTown, Kalabo]
  • A. Kalabahi
    Kalabahi is the main town and administrative center on Alor Island in Indonesia’s East Nusa Tenggara province.
  • B. Barbalha
    Barbalha is a municipality in northeastern Brazil known for its traditional cultural festivals and location in the state of Ceará.
  • C. Laabi
    Laabi is a small village located in Harku Parish in northern Estonia.
  • D. Olpe
    Olpe is a small town in the Sauerland region of North Rhine-Westphalia, Germany, known for its surrounding forests, hills, and the Biggesee reservoir.
  • E. Licab
    Licab is a rural agricultural municipality in the province of Nueva Ecija in the Philippines, known primarily for rice farming.
  • 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: Kalabo
Triple: [Barotseland, majorTown, Kalabo]
Generated description
Kalabo is a significant town in western Zambia’s Barotseland region, serving as a local administrative and commercial center near the Zambezi floodplains.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Kalabo
Target entity description: Kalabo is a significant town in western Zambia’s Barotseland region, serving as a local administrative and commercial center near the Zambezi floodplains.
  • A. Kalabahi
    Kalabahi is the main town and administrative center on Alor Island in Indonesia’s East Nusa Tenggara province.
  • B. Barbalha
    Barbalha is a municipality in northeastern Brazil known for its traditional cultural festivals and location in the state of Ceará.
  • C. Laabi
    Laabi is a small village located in Harku Parish in northern Estonia.
  • D. Olpe
    Olpe is a small town in the Sauerland region of North Rhine-Westphalia, Germany, known for its surrounding forests, hills, and the Biggesee reservoir.
  • E. Licab
    Licab is a rural agricultural municipality in the province of Nueva Ecija in the Philippines, known primarily for rice farming.
  • 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_69d6aa5a4c4881908f39be6efe5981e5 completed April 8, 2026, 7:19 p.m.
NER Named-entity recognition batch_69d6dfe4b97081908815b77612222318 completed April 8, 2026, 11:08 p.m.
NED1 Entity disambiguation (via context triple) batch_69d97a69a57c81908bf99cac0c0a49f2 completed April 10, 2026, 10:32 p.m.
NEDg Description generation batch_69d97cc20448819094d650b9c1067dca completed April 10, 2026, 10:42 p.m.
NED2 Entity disambiguation (via description) batch_69d97e13913081908dd1fb60fa44db05 completed April 10, 2026, 10:47 p.m.
Created at: April 8, 2026, 9:06 p.m.