Triple
T19960979
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | EIP |
E479811
|
entity |
| Predicate | categoryWithinOperator |
P136138
|
FINISHED |
| Object | flagship service of PKP Intercity |
—
|
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: flagship service of PKP Intercity | Statement: [EIP, categoryWithinOperator, flagship service of PKP Intercity]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: categoryWithinOperator Context triple: [EIP, categoryWithinOperator, flagship service of PKP Intercity]
-
A.
containsCategory
Indicates that one entity includes or encompasses a specific category as part of its classification or organizational structure.
-
B.
hasCategoryWithin
Indicates that one category is contained within or is a subcategory of another category.
-
C.
categoryDefinedIn
Indicates that a category is formally specified or established within a particular source, context, or definitional framework.
-
D.
categoryWithinOrganization
chosen
Indicates that one organizational unit or category is contained within, and hierarchically belongs to, a broader organizational structure.
-
E.
classificationIncludes
Indicates that a broader classification category encompasses or contains a specified subclass, member, or element within its scope.
- 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_69d8e523c19881909f9197037200dde6 |
completed | April 10, 2026, 11:55 a.m. |
| NER | Named-entity recognition | batch_69e65af4520c81909986a47289ba801e |
completed | April 20, 2026, 4:57 p.m. |
| PD | Predicate disambiguation | batch_69e537f7e4848190b431a69ec3f1b609 |
completed | April 19, 2026, 8:15 p.m. |
Created at: April 10, 2026, 1:54 p.m.