Triple

T10629472
Position Surface form Disambiguated ID Type / Status
Subject Battle of Colenso E250413 entity
Predicate location P40 FINISHED
Object Colenso E808673 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: Colenso | Statement: [Battle of Colenso, location, Colenso]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Colenso
Context triple: [Battle of Colenso, location, Colenso]
  • A. Colenso chosen
    Colenso is a small town in South Africa’s KwaZulu-Natal province, historically known for its role in the Anglo-Zulu and Anglo-Boer wars.
  • B. Calvinia
    Calvinia is a small South African town in the Northern Cape, known for its sheep farming, clear night skies, and location within the arid Karoo region.
  • C. Clanwilliam
    Clanwilliam is a historic town in South Africa’s Western Cape, known as a gateway to the Cederberg mountains and for its rooibos tea production.
  • D. Teralba
    Teralba is a suburb of Lake Macquarie in New South Wales, Australia, known for its lakeside setting and historical ties to coal mining and rail transport.
  • E. Lanseria
    Lanseria is a town in the northwestern part of Johannesburg, South Africa, known primarily for hosting the privately owned Lanseria International Airport.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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_69d6aa5993448190a493b790b8f85010 completed April 8, 2026, 7:19 p.m.
NER Named-entity recognition batch_69d6df92f8388190a8bcff96809d8eb4 completed April 8, 2026, 11:06 p.m.
NED1 Entity disambiguation (via context triple) batch_69d96babc290819096c0c914d038ba01 completed April 10, 2026, 9:29 p.m.
Created at: April 8, 2026, 9 p.m.