Triple

T28697906
Position Surface form Disambiguated ID Type / Status
Subject Robert Moffat E729463 entity
Predicate workLocation P7 FINISHED
Object Kuruman, Bechuanaland (now South Africa)
Kuruman, in what was then Bechuanaland and is now part of South Africa, is a historic mission station and settlement known as a key base for 19th-century Christian missionary activity and exploration in southern Africa.
E1831791 NE FINISHED

How this triple was built (2 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: Kuruman, Bechuanaland (now South Africa) | Statement: [Robert Moffat, workLocation, Kuruman, Bechuanaland (now South Africa)]
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: Kuruman, Bechuanaland (now South Africa)
Triple: [Robert Moffat, workLocation, Kuruman, Bechuanaland (now South Africa)]
Generated description
Kuruman, in what was then Bechuanaland and is now part of South Africa, is a historic mission station and settlement known as a key base for 19th-century Christian missionary activity and exploration in southern Africa.

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_69f043e6e9688190b6bdd6e5665498ff completed April 28, 2026, 5:21 a.m.
NER Named-entity recognition batch_69f656b1d00c8190af5ce3a32a576ef9 completed May 2, 2026, 7:55 p.m.
NED1 Entity disambiguation (via context triple) batch_6a1ccf4ac2308190b63eb7ab03ef789b completed June 1, 2026, 12:16 a.m.
NEDg Description generation batch_6a249437ba308190b0e40496c8e38562 completed June 6, 2026, 9:42 p.m.
NED2 Entity disambiguation (via description) batch_6a2498ce9614819086c21dc9dc0b45ea completed June 6, 2026, 10:01 p.m.
Created at: April 28, 2026, 5:40 a.m.