Triple

T4149674
Position Surface form Disambiguated ID Type / Status
Subject Erongo Region E89872 entity
Predicate containsSettlement P847 FINISHED
Object Arandis
Arandis is a small mining town in Namibia known primarily for its proximity to the Rossing uranium mine.
 E419949 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: Arandis | Statement: [Erongo Region, containsSettlement, Arandis]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Arandis
Context triple: [Erongo Region, containsSettlement, Arandis]
  • A. Andal
    Andal is a revered female Tamil Vaishnavite saint and poet, celebrated for her devotional hymns to Vishnu and her central place in the Sri Vaishnavism tradition.
  • B. Martos
    Martos is a historic town in southern Spain’s Andalusia region, known for its olive oil production and hilltop setting dominated by a medieval castle.
  • C. Arycanda
    Arycanda was an ancient Lycian city in what is now southwestern Turkey, noted for its well-preserved ruins and terraced layout on a steep mountainside.
  • D. Gharaunda
    Gharaunda is a town in the Indian state of Haryana known for its agricultural market and proximity to the historic city of Karnal.
  • E. Arganil
    Arganil is a municipality and town in central Portugal known for its mountainous landscapes, river beaches, and traditional schist villages.
  • 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: Arandis
Triple: [Erongo Region, containsSettlement, Arandis]
Generated description
Arandis is a small mining town in Namibia known primarily for its proximity to the Rossing uranium mine.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Arandis
Target entity description: Arandis is a small mining town in Namibia known primarily for its proximity to the Rossing uranium mine.
  • A. Andal
    Andal is a revered female Tamil Vaishnavite saint and poet, celebrated for her devotional hymns to Vishnu and her central place in the Sri Vaishnavism tradition.
  • B. Martos
    Martos is a historic town in southern Spain’s Andalusia region, known for its olive oil production and hilltop setting dominated by a medieval castle.
  • C. Arycanda
    Arycanda was an ancient Lycian city in what is now southwestern Turkey, noted for its well-preserved ruins and terraced layout on a steep mountainside.
  • D. Gharaunda
    Gharaunda is a town in the Indian state of Haryana known for its agricultural market and proximity to the historic city of Karnal.
  • E. Arganil
    Arganil is a municipality and town in central Portugal known for its mountainous landscapes, river beaches, and traditional schist villages.
  • 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_69aed95a59a881909b26e70b42c6811a completed March 9, 2026, 2:29 p.m.
NER Named-entity recognition batch_69af0273a038819087db092da234e767 completed March 9, 2026, 5:25 p.m.
NED1 Entity disambiguation (via context triple) batch_69b589e457f48190b8ed8bd92e07b519 completed March 14, 2026, 4:16 p.m.
NEDg Description generation batch_69b58db167a08190bceb46565a651ca0 completed March 14, 2026, 4:32 p.m.
NED2 Entity disambiguation (via description) batch_69b58e5bc2108190b7f5dfa0cf20d0ff completed March 14, 2026, 4:35 p.m.
Created at: March 9, 2026, 3:43 p.m.