Triple

T24761948

Position	Surface form	Disambiguated ID	Type / Status
Subject	Swansea copper industry	`E619469`	entity
Predicate	hadMajorCompany	`P158106`	FINISHED
Object	Vivian & Sons Vivian & Sons was a leading 19th-century Welsh copper smelting and metal trading firm based in Swansea that played a central role in making the town a global center of the copper industry.	`E1653363`	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 & Sons | Statement: [Swansea copper industry, hadMajorCompany, Vivian & Sons]

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 & Sons
Triple: [Swansea copper industry, hadMajorCompany, Vivian & Sons]

Generated description

Vivian & Sons was a leading 19th-century Welsh copper smelting and metal trading firm based in Swansea that played a central role in making the town a global center of the copper industry.

PD Predicate disambiguation gpt-5-mini-2025-08-07

Target predicate: hadMajorCompany
Context triple: [Swansea copper industry, hadMajorCompany, Vivian & Sons]

A. hasMajorCompanyOrigin
Indicates that an entity originates from, was founded by, or initially developed within a major company.
B. hadCompanyAt
Indicates that an entity was accompanied by or in the presence of another entity at a specific time or place.
C. hasMajor
Indicates that an entity (typically a person or student) has a specific primary field of academic study or specialization.
D. hasMajorOrganization
Indicates that an entity is associated with or primarily represented by a major organization.
E. hadMajorFront
Indicates that an entity (such as a conflict or war) involved a significant primary front or theater of operations in a specified location or context.
F. None of above. chosen

Provenance (7 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_69f464b4c9b0819085daa00c7c3b8b76`	completed	May 1, 2026, 8:30 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_69f45cf017a88190b4985b11159c907d`	completed	May 1, 2026, 7:57 a.m.
PDg	Predicate description generation	`batch_69f464ae42e88190b3549fdf4e0b425e`	completed	May 1, 2026, 8:30 a.m.

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