Triple

T10976684
Position Surface form Disambiguated ID Type / Status
Subject 42nd Regiment of Foot E259387 entity
Predicate battleHonour P12198 FINISHED
Object Busaco
Busaco is a notable battle of the Peninsular War, fought in 1810 in Portugal between Anglo-Portuguese and French forces.
E896998 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: Busaco | Statement: [42nd Regiment of Foot, battleHonour, Busaco]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Busaco
Context triple: [42nd Regiment of Foot, battleHonour, Busaco]
  • A. Bothasig
    Bothasig is a residential suburb in the northern part of Cape Town, South Africa.
  • B. Bela Vista
    Bela Vista is a settlement located on the island and municipality of São Vicente in Cape Verde.
  • C. Lanseria
    Lanseria is a town in the northwestern part of Johannesburg, South Africa, known primarily for hosting the privately owned Lanseria International Airport.
  • D. Lobamba
    Lobamba is the traditional and legislative capital of Eswatini, serving as the seat of the Swazi monarchy and key national institutions.
  • E. Egoli
    Egoli is a common nickname for Johannesburg, South Africa’s major economic hub often referred to as the "City of Gold."
  • 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: Busaco
Triple: [42nd Regiment of Foot, battleHonour, Busaco]
Generated description
Busaco is a notable battle of the Peninsular War, fought in 1810 in Portugal between Anglo-Portuguese and French forces.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Busaco
Target entity description: Busaco is a notable battle of the Peninsular War, fought in 1810 in Portugal between Anglo-Portuguese and French forces.
  • A. Bothasig
    Bothasig is a residential suburb in the northern part of Cape Town, South Africa.
  • B. Bela Vista
    Bela Vista is a settlement located on the island and municipality of São Vicente in Cape Verde.
  • C. Lanseria
    Lanseria is a town in the northwestern part of Johannesburg, South Africa, known primarily for hosting the privately owned Lanseria International Airport.
  • D. Lobamba
    Lobamba is the traditional and legislative capital of Eswatini, serving as the seat of the Swazi monarchy and key national institutions.
  • E. Egoli
    Egoli is a common nickname for Johannesburg, South Africa’s major economic hub often referred to as the "City of Gold."
  • 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_69d6aa895f4c8190887a15460ef622f4 completed April 8, 2026, 7:20 p.m.
NER Named-entity recognition batch_69d771f5bef481909043656c571fda89 completed April 9, 2026, 9:31 a.m.
NED1 Entity disambiguation (via context triple) batch_69e2d7bcea448190b09906c79de67496 completed April 18, 2026, 1 a.m.
NEDg Description generation batch_69e2ff211ae88190a40380cd25a61812 completed April 18, 2026, 3:48 a.m.
NED2 Entity disambiguation (via description) batch_69e32634397481908284c04448274b25 completed April 18, 2026, 6:35 a.m.
Created at: April 8, 2026, 9:24 p.m.