Triple
T2221536
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Warsaw Tram system |
E48150
|
entity |
| Predicate | hasIntegration |
P8841
|
FINISHED |
| Object | park and ride facilities in Warsaw |
—
|
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: park and ride facilities in Warsaw | Statement: [Warsaw Tram system, hasIntegration, park and ride facilities in Warsaw]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasIntegration Context triple: [Warsaw Tram system, hasIntegration, park and ride facilities in Warsaw]
-
A.
integratedIn
Indicates that one entity is incorporated as a component or part within a larger system, structure, or context represented by another entity.
-
B.
hasApp
Indicates that an entity possesses, provides, or is associated with a particular application.
-
C.
typeOfIntegration
chosen
Indicates the specific kind or category of integration that exists or is applied between systems, components, or processes.
-
D.
hasHardwareCompatibilityWith
Indicates that two hardware components or systems can operate together correctly and reliably without conflicts or incompatibilities.
-
E.
integratesService
Indicates that one entity connects with and enables the functionality of another service so they work together as a unified system.
- 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_69a88aa1ee708190862c8c378c41e9eb |
completed | March 4, 2026, 7:40 p.m. |
| NER | Named-entity recognition | batch_69abc0156c8c819083e3e3b6ede1e951 |
completed | March 7, 2026, 6:05 a.m. |
| PD | Predicate disambiguation | batch_69abbdac31d8819092d17815e11921e9 |
completed | March 7, 2026, 5:54 a.m. |
Created at: March 4, 2026, 7:47 p.m.