Triple
T26691713
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Baron Belper |
E672901
|
entity |
| Predicate | industrialAssociation |
P51954
|
FINISHED |
| Object | Strutt family textile interests |
—
|
LITERAL FINISHED |
How this triple was built (2 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: Strutt family textile interests | Statement: [Baron Belper, industrialAssociation, Strutt family textile interests]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: industrialAssociation Context triple: [Baron Belper, industrialAssociation, Strutt family textile interests]
-
A.
cityIndustryAssociation
Indicates an associative relationship between a city and an industry, such as the industry being present, active, or economically significant in that city.
-
B.
industryConsortium
Indicates a collaborative association where multiple organizations formally join together within an industry to pursue shared goals, standards, or initiatives.
-
C.
isPartOfIndustrialGroup
Indicates that one entity belongs to, or is a constituent member of, a larger industrial group or corporate conglomerate.
-
D.
industrialCategory
Indicates the industry or sector classification to which an entity (such as a business or organization) belongs.
-
E.
industryConnection
chosen
Indicates a professional or business relationship linking entities within the same or related industries, such as partnerships, collaborations, or shared sector involvement.
- F. None of above.
Provenance (3 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_69eecda2066c8190a344218afa5e89c1 |
completed | April 27, 2026, 2:44 a.m. |
| NER | Named-entity recognition | batch_69f6383625cc8190aa223d8ef655743c |
completed | May 2, 2026, 5:45 p.m. |
| PD | Predicate disambiguation | batch_69f63709e4848190b5cf322e06b23fb6 |
completed | May 2, 2026, 5:40 p.m. |
Created at: April 27, 2026, 3:26 a.m.