Triple

T15490059
Position Surface form Disambiguated ID Type / Status
Subject Pool Department E378657 entity
Predicate containsTown P847 FINISHED
Object Kindamba
Kindamba is a town located in the Pool Department of the Republic of the Congo.
 E1160829 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: Kindamba | Statement: [Pool Department, containsTown, Kindamba]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Kindamba
Context triple: [Pool Department, containsTown, Kindamba]
  • A. Mansa
    Mansa is a city in the Malwa region of Punjab, India, known primarily as an agricultural and cotton-growing center.
  • B. Mansa
    Mansa was the royal title used by the rulers of the Mali Empire, most famously borne by Mansa Musa, one of the wealthiest and most influential monarchs in history.
  • C. Kusaasi
    The Kusaasi are an ethnic group of northern Ghana and southern Burkina Faso, known for their distinct cultural traditions and as native speakers of the Kusaal language.
  • D. Kangulumira
    Kangulumira is a small town in central Uganda located within Kayunga District.
  • E. Mongu
    Mongu is a town in western Zambia that serves as the administrative and cultural center of the Lozi people and a key hub near the Zambezi River’s Barotse Floodplain.
  • 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: Kindamba
Triple: [Pool Department, containsTown, Kindamba]
Generated description
Kindamba is a town located in the Pool Department of the Republic of the Congo.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Kindamba
Target entity description: Kindamba is a town located in the Pool Department of the Republic of the Congo.
  • A. Mansa
    Mansa is a city in the Malwa region of Punjab, India, known primarily as an agricultural and cotton-growing center.
  • B. Mansa
    Mansa was the royal title used by the rulers of the Mali Empire, most famously borne by Mansa Musa, one of the wealthiest and most influential monarchs in history.
  • C. Kusaasi
    The Kusaasi are an ethnic group of northern Ghana and southern Burkina Faso, known for their distinct cultural traditions and as native speakers of the Kusaal language.
  • D. Kangulumira
    Kangulumira is a small town in central Uganda located within Kayunga District.
  • E. Mongu
    Mongu is a town in western Zambia that serves as the administrative and cultural center of the Lozi people and a key hub near the Zambezi River’s Barotse Floodplain.
  • 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_69d85cd53a7c819080f5b9042c4c199e completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69e03fac2af88190ac1d119e6b21dbe0 completed April 16, 2026, 1:47 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff365f27c48190822254b6da504d3d completed May 9, 2026, 1:27 p.m.
NEDg Description generation batch_69ff375856448190a61979dfff751f06 completed May 9, 2026, 1:32 p.m.
NED2 Entity disambiguation (via description) batch_69ff382f1bbc8190810d0d825430f9ea completed May 9, 2026, 1:35 p.m.
Created at: April 10, 2026, 3:48 a.m.