Triple
T26924611
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Warszawa–Katowice railway line |
E677743
|
entity |
| Predicate | importanceForIndustry |
P1887
|
FINISHED |
| Object | serves industrial centers of Upper Silesia |
—
|
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: serves industrial centers of Upper Silesia | Statement: [Warszawa–Katowice railway line, importanceForIndustry, serves industrial centers of Upper Silesia]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: importanceForIndustry Context triple: [Warszawa–Katowice railway line, importanceForIndustry, serves industrial centers of Upper Silesia]
-
A.
impactOnIndustry
Indicates the effect or influence that one entity, event, or action has on the state, performance, or development of an industry.
-
B.
hasCommercialImportance
Indicates that something possesses economic or business value significant enough to impact trade, revenue, or market activity.
-
C.
positionInIndustry
Indicates the role, rank, or standing that an entity holds within a particular industry or sector.
-
D.
isImportantFor
chosen
Indicates that something holds significant value, relevance, or necessity in relation to something else.
-
E.
industryStatus
Indicates the current operational or regulatory condition of an entity within its industry (e.g., active, inactive, regulated, or restricted status).
- 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_69eee9bdebc48190ba90a12a63e09c73 |
completed | April 27, 2026, 4:44 a.m. |
| NER | Named-entity recognition | batch_69f643ed0b7481908cf25f3afec0a61d |
completed | May 2, 2026, 6:35 p.m. |
| PD | Predicate disambiguation | batch_69f641dc8ff48190ab575d855616580c |
completed | May 2, 2026, 6:26 p.m. |
Created at: April 27, 2026, 6:09 a.m.