Triple

T16484989
Position Surface form Disambiguated ID Type / Status
Subject Kobus anselli E400415 entity
Predicate commonName P570 FINISHED
Object Upemba lechwe
The Upemba lechwe is a rare, semi-aquatic antelope subspecies endemic to the wetlands of the Upemba region in the Democratic Republic of the Congo.
 E1216225 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: Upemba lechwe | Statement: [Kobus anselli, commonName, Upemba lechwe]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Upemba lechwe
Context triple: [Kobus anselli, commonName, Upemba lechwe]
  • A. Lubemba
    Lubemba is the traditional kingdom and cultural heartland of the Bemba people in what is now northern Zambia.
  • B. Umbundu
    Umbundu is a major Bantu language spoken primarily in central and southern Angola, especially by the Ovimbundu people.
  • C. Echilómwe
    Echilómwe is a Bantu language spoken primarily by the Lomwe people of Mozambique and Malawi.
  • D. Chavuma
    Chavuma is a small town in northwestern Zambia near the Angolan border, known for its proximity to the Zambezi River and scenic waterfalls.
  • E. Tumbi Umbi
    Tumbi Umbi is a suburb on the Central Coast of New South Wales, Australia, known for its residential areas and proximity to Tuggerah Lake.
  • 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: Upemba lechwe
Triple: [Kobus anselli, commonName, Upemba lechwe]
Generated description
The Upemba lechwe is a rare, semi-aquatic antelope subspecies endemic to the wetlands of the Upemba region in the Democratic Republic of the Congo.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Upemba lechwe
Target entity description: The Upemba lechwe is a rare, semi-aquatic antelope subspecies endemic to the wetlands of the Upemba region in the Democratic Republic of the Congo.
  • A. Lubemba
    Lubemba is the traditional kingdom and cultural heartland of the Bemba people in what is now northern Zambia.
  • B. Umbundu
    Umbundu is a major Bantu language spoken primarily in central and southern Angola, especially by the Ovimbundu people.
  • C. Echilómwe
    Echilómwe is a Bantu language spoken primarily by the Lomwe people of Mozambique and Malawi.
  • D. Chavuma
    Chavuma is a small town in northwestern Zambia near the Angolan border, known for its proximity to the Zambezi River and scenic waterfalls.
  • E. Tumbi Umbi
    Tumbi Umbi is a suburb on the Central Coast of New South Wales, Australia, known for its residential areas and proximity to Tuggerah Lake.
  • 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_69d883813098819084f5409539723b59 completed April 10, 2026, 4:58 a.m.
NER Named-entity recognition batch_69e32e05bf448190947b9da15fd29d0a completed April 18, 2026, 7:08 a.m.
NED1 Entity disambiguation (via context triple) batch_6a005820790c819088d953eeea09328d completed May 10, 2026, 10:04 a.m.
NEDg Description generation batch_6a0059126e588190b531c145f3c155b4 completed May 10, 2026, 10:08 a.m.
NED2 Entity disambiguation (via description) batch_6a0059bf355c81909d6796482fe7f3e3 completed May 10, 2026, 10:11 a.m.
Created at: April 10, 2026, 5:13 a.m.