Triple

T10629486
Position Surface form Disambiguated ID Type / Status
Subject Battle of Colenso E250413 entity
Predicate relatedPlace P3158 FINISHED
Object Ladysmith E42617 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: Ladysmith | Statement: [Battle of Colenso, relatedPlace, Ladysmith]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ladysmith
Context triple: [Battle of Colenso, relatedPlace, Ladysmith]
  • A. Ladysmith chosen
    Ladysmith is a South African town in KwaZulu-Natal best known as a key site of the Second Boer War, particularly the famous Siege of Ladysmith.
  • B. Ladysmith
    Ladysmith is a small coastal town on Vancouver Island in British Columbia, Canada, known for its historic downtown and scenic harbor.
  • C. Lobamba
    Lobamba is the traditional and legislative capital of Eswatini, serving as the seat of the Swazi monarchy and key national institutions.
  • D. Belhar
    Belhar is a suburb of Cape Town, South Africa, historically significant in the anti-apartheid struggle and as the birthplace of the Belhar Confession.
  • E. Kommetjie
    Kommetjie is a small coastal village on South Africa’s Cape Peninsula known for its surf breaks, long white beaches, and relaxed seaside atmosphere.
  • 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.