Triple
T7639089
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nikiszowiec historic workers’ district |
E172953
|
entity |
| Predicate | builtForIndustry |
P8196
|
FINISHED |
| Object | coal mining |
—
|
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: coal mining | Statement: [Nikiszowiec historic workers’ district, builtForIndustry, coal mining]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: builtForIndustry Context triple: [Nikiszowiec historic workers’ district, builtForIndustry, coal mining]
-
A.
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.
-
B.
isBuiltFor
chosen
Indicates that one entity is specifically designed, intended, or optimized to serve, support, or accommodate another entity or purpose.
-
C.
industrialCategory
Indicates the industry or sector classification to which an entity (such as a business or organization) belongs.
-
D.
isTechHeavy
Indicates that something involves a high degree of technology use, complexity, or dependence.
-
E.
hasMilitaryIndustry
Indicates that an entity possesses or is associated with an industry dedicated to the research, development, production, or maintenance of military equipment, technology, or services.
- 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_69c69952849881908fdcea7a93bfc307 |
completed | March 27, 2026, 2:50 p.m. |
| NER | Named-entity recognition | batch_69c6facb14188190952de18fa2699784 |
completed | March 27, 2026, 9:46 p.m. |
| PD | Predicate disambiguation | batch_69c6f4e8cadc8190b7977fcd213954dd |
completed | March 27, 2026, 9:21 p.m. |
Created at: March 27, 2026, 3:57 p.m.