Triple

T16700321
Position Surface form Disambiguated ID Type / Status
Subject Khomasdal North Constituency E405827 entity
Predicate containsPartOf P1393 FINISHED
Object Khomasdal
Khomasdal is a residential suburb of Windhoek in Namibia’s Khomas Region, known for its historically Coloured community and mixed urban housing.
E1320051 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: Khomasdal | Statement: [Khomasdal North Constituency, containsPartOf, Khomasdal]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Khomasdal
Context triple: [Khomasdal North Constituency, containsPartOf, Khomasdal]
  • A. Ottosdal
    Ottosdal is a small agricultural town in South Africa’s North West province, known for its grain farming and rural character.
  • B. Verdal
    Verdal is a municipality in central Norway known for its agricultural landscape, industrial activity, and the historic battlefield of Stiklestad.
  • C. Nissedal
    Nissedal is a rural municipality in Vestfold og Telemark county, Norway, known for its forests, lakes, and outdoor recreation opportunities.
  • D. Gausdal
    Gausdal is a rural municipality in southeastern Norway known for its agricultural landscape, forests, and outdoor recreational opportunities.
  • E. Engerdal
    Engerdal is a sparsely populated municipality in Innlandet county, Norway, known for its vast forests, lakes, and proximity to the Swedish border.
  • 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: Khomasdal
Triple: [Khomasdal North Constituency, containsPartOf, Khomasdal]
Generated description
Khomasdal is a residential suburb of Windhoek in Namibia’s Khomas Region, known for its historically Coloured community and mixed urban housing.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Khomasdal
Target entity description: Khomasdal is a residential suburb of Windhoek in Namibia’s Khomas Region, known for its historically Coloured community and mixed urban housing.
  • A. Ottosdal
    Ottosdal is a small agricultural town in South Africa’s North West province, known for its grain farming and rural character.
  • B. Verdal
    Verdal is a municipality in central Norway known for its agricultural landscape, industrial activity, and the historic battlefield of Stiklestad.
  • C. Nissedal
    Nissedal is a rural municipality in Vestfold og Telemark county, Norway, known for its forests, lakes, and outdoor recreation opportunities.
  • D. Gausdal
    Gausdal is a rural municipality in southeastern Norway known for its agricultural landscape, forests, and outdoor recreational opportunities.
  • E. Engerdal
    Engerdal is a sparsely populated municipality in Innlandet county, Norway, known for its vast forests, lakes, and proximity to the Swedish border.
  • 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_69d8838db21081909589220fd71440a4 completed April 10, 2026, 4:58 a.m.
NER Named-entity recognition batch_69e3833195948190801268a1053060d9 completed April 18, 2026, 1:12 p.m.
NED1 Entity disambiguation (via context triple) batch_6a03cc075a1881909fef72945e47d68a completed May 13, 2026, 12:55 a.m.
NEDg Description generation batch_6a03cfe2e23c8190bc49aa82debf5367 completed May 13, 2026, 1:12 a.m.
NED2 Entity disambiguation (via description) batch_6a03d04dd0a88190b308c4a2c649f687 completed May 13, 2026, 1:13 a.m.
Created at: April 10, 2026, 5:19 a.m.