Triple

T24761947

Position	Surface form	Disambiguated ID	Type / Status
Subject	Swansea copper industry	`E619469`	entity
Predicate	hadMajorWorks	`P6260`	FINISHED
Object	Vivian Copper Works Vivian Copper Works was a major 19th- and early 20th-century copper smelting and processing complex in Swansea, Wales, that played a central role in the city’s prominence as a global center of copper production.	`E1653362`	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: Vivian Copper Works | Statement: [Swansea copper industry, hadMajorWorks, Vivian Copper Works]

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: Vivian Copper Works
Triple: [Swansea copper industry, hadMajorWorks, Vivian Copper Works]

Generated description

Vivian Copper Works was a major 19th- and early 20th-century copper smelting and processing complex in Swansea, Wales, that played a central role in the city’s prominence 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, Vivian Copper Works]

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_69f453035f508190be83a3d521723acf`	completed	May 1, 2026, 7:15 a.m.
NED1	Entity disambiguation (via context triple)	`batch_6a101c1008708190a48a1c4755381f45`	completed	May 22, 2026, 9:04 a.m.
NEDg	Description generation	`batch_6a1028468998819087e3f9b72b85b947`	completed	May 22, 2026, 9:56 a.m.
NED2	Entity disambiguation (via description)	`batch_6a10291de8b081908ee2e532ddca698e`	completed	May 22, 2026, 9:59 a.m.
PD	Predicate disambiguation	`batch_69f44d6ef33081908f5d36ba1ae5f473`	completed	May 1, 2026, 6:51 a.m.

Created at: April 18, 2026, 4:27 a.m.