Triple

T24761945
Position Surface form Disambiguated ID Type / Status
Subject Swansea copper industry E619469 entity
Predicate hadMajorWorks P6260 FINISHED
Object Morfa Copperworks
Morfa Copperworks was one of the largest and most important 19th-century copper smelting complexes in Swansea, Wales, central to the city’s role as a global center of copper production.
 E1653360 NE FINISHED

How this triple was built (3 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: Morfa Copperworks | Statement: [Swansea copper industry, hadMajorWorks, Morfa Copperworks]
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: Morfa Copperworks
Triple: [Swansea copper industry, hadMajorWorks, Morfa Copperworks]
Generated description
Morfa Copperworks was one of the largest and most important 19th-century copper smelting complexes in Swansea, Wales, central to the city’s role as a global center of copper production.
PD Predicate disambiguation gpt-5-mini-2025-08-07 
Target predicate: hadMajorWorks
Context triple: [Swansea copper industry, hadMajorWorks, Morfa Copperworks]
  • A. hasMainWorks
    Indicates that an entity possesses or is associated with one or more primary or most significant works.
  • B. eraOfMajorWorks
    Indicates the historical period during which an entity produced its most significant or influential works.
  • C. hasMajorWork chosen
    Indicates that an entity (typically a person, creator, or organization) is associated with a significant or principal work they produced or are best known for.
  • D. hasCreatedWorksFor
    Indicates that one entity has produced or created works (such as art, documents, or products) on behalf of or for the benefit of another entity.
  • E. majorWorkAboutHim
    Indicates that a major work (such as a book, film, or study) is primarily about the referenced person.
  • F. None of above.

Provenance (6 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_69e2fabbea94819092ed41348909622f completed April 18, 2026, 3:30 a.m.
NER Named-entity recognition batch_69f42d9000b8819081ea2605f3c193d6 completed May 1, 2026, 4:35 a.m.
NED1 Entity disambiguation (via context triple) batch_6a1032ff16748190a25710b73254416c completed May 22, 2026, 10:42 a.m.
NEDg Description generation batch_6a10341e764c819083c10e4d151da1c6 completed May 22, 2026, 10:46 a.m.
NED2 Entity disambiguation (via description) batch_6a1034cf890881908bd25523cdb83586 completed May 22, 2026, 10:49 a.m.
PD Predicate disambiguation batch_69f420f471a0819095a6cd24ed8f7476 completed May 1, 2026, 3:41 a.m.
Created at: April 18, 2026, 4:27 a.m.