Triple
T16046884
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Polska Ludowa |
E389243
|
entity |
| Predicate | przemysłDominujący |
P67736
|
FINISHED |
| Object | przemysł ciężki |
—
|
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: przemysł ciężki | Statement: [Polska Ludowa, przemysłDominujący, przemysł ciężki]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: przemysłDominujący Context triple: [Polska Ludowa, przemysłDominujący, przemysł ciężki]
-
A.
industrialFocus
chosen
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.
industrialCategory
Indicates the industry or sector classification to which an entity (such as a business or organization) belongs.
-
C.
industrializes
Indicates the process by which an entity transforms its economy or operations from primarily agrarian or manual production to large-scale, mechanized, and industrial production.
-
D.
industrialComplex
Indicates a relationship where a facility or site functions as a large-scale, integrated center for industrial production, processing, or related operations.
-
E.
hasIndustrialSector
Indicates that an entity is associated with, operates in, or belongs to a particular industrial sector or branch of economic activity.
- 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_69d86dae698881908327ef2d67706cb9 |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e1ff63edb0819092cbb671967bbdcd |
completed | April 17, 2026, 9:37 a.m. |
| PD | Predicate disambiguation | batch_69e1826f34c081908005bb736f1c485d |
completed | April 17, 2026, 12:44 a.m. |
Created at: April 10, 2026, 4:56 a.m.