Triple

T24761950
Position Surface form Disambiguated ID Type / Status
Subject Swansea copper industry E619469 entity
Predicate hadMajorCompany P158106 FINISHED
Object Grenfell & Sons
Grenfell & Sons was a prominent industrial firm that became one of the leading copper-smelting and metal-processing companies in Swansea during the height of its copper industry.
 E1652666 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: Grenfell & Sons | Statement: [Swansea copper industry, hadMajorCompany, Grenfell & 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: Grenfell & Sons
Triple: [Swansea copper industry, hadMajorCompany, Grenfell & Sons]
Generated description
Grenfell & Sons was a prominent industrial firm that became one of the leading copper-smelting and metal-processing companies in Swansea during the height of its copper industry.
PD Predicate disambiguation gpt-5-mini-2025-08-07 
Target predicate: hadMajorCompany
Context triple: [Swansea copper industry, hadMajorCompany, Grenfell & Sons]
  • A. hadMajorCompany chosen
    Indicates that an entity previously owned, led, or was primarily associated with a major company.
  • B. hasMajorCompanyOrigin
    Indicates that an entity originates from, was founded by, or initially developed within a major company.
  • C. hadCompanyAt
    Indicates that an entity was accompanied by or in the presence of another entity at a specific time or place.
  • D. hasMajor
    Indicates that an entity (typically a person or student) has a specific primary field of academic study or specialization.
  • E. hasMajorOrganization
    Indicates that an entity is associated with or primarily represented by a major organization.
  • 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_69f48b9b687881908fd87a2f5fa0b1e7 completed May 1, 2026, 11:16 a.m.
NED1 Entity disambiguation (via context triple) batch_6a101c122b948190a145a4e87ec9ed67 completed May 22, 2026, 9:04 a.m.
NEDg Description generation batch_6a10276d02a88190a0943a9e4726b3f3 completed May 22, 2026, 9:52 a.m.
NED2 Entity disambiguation (via description) batch_6a10282c01b481908a7340bef6e2a727 completed May 22, 2026, 9:55 a.m.
PD Predicate disambiguation batch_69f48060597c8190a4414e4e4fcb1fec completed May 1, 2026, 10:28 a.m.
Created at: April 18, 2026, 4:27 a.m.