Triple
T32537043
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | London to Sheffield main line |
E831615
|
entity |
| Predicate | industrialConnection |
P64091
|
FINISHED |
| Object | served the industrial city of Sheffield |
—
|
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: served the industrial city of Sheffield | Statement: [London to Sheffield main line, industrialConnection, served the industrial city of Sheffield]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: industrialConnection Context triple: [London to Sheffield main line, industrialConnection, served the industrial city of Sheffield]
-
A.
connectsIndustrialCenter
chosen
Indicates a relationship where one entity serves as a link or route that joins or provides access between industrial centers.
-
B.
industryConnection
Indicates a professional or business relationship linking entities within the same or related industries, such as partnerships, collaborations, or shared sector involvement.
-
C.
industrialFocus
Indicates a relationship where an entity is primarily concerned with, specialized in, or directed toward a particular industrial sector or area of industrial activity.
-
D.
industrialCategory
Indicates the industry or sector classification to which an entity (such as a business or organization) belongs.
-
E.
industrialTheme
Indicates that something is characterized by or associated with an industrial style, atmosphere, or subject matter.
- 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_69f34924b1cc8190ad3aca0c0f012a7e |
completed | April 30, 2026, 12:20 p.m. |
| NER | Named-entity recognition | batch_69f6c572f79c819095c549d8c9942b3a |
completed | May 3, 2026, 3:48 a.m. |
| PD | Predicate disambiguation | batch_69f6bd2a14b081908162923dfbf0a6f4 |
completed | May 3, 2026, 3:12 a.m. |
Created at: May 1, 2026, 1:01 a.m.