Triple
T36685776
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Wisłostrada |
E905810
|
entity |
| Predicate | isPartOfPlanningCategory |
P76632
|
FINISHED |
| Object | main city road (Warsaw road classification) |
—
|
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: main city road (Warsaw road classification) | Statement: [Wisłostrada, isPartOfPlanningCategory, main city road (Warsaw road classification)]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isPartOfPlanningCategory Context triple: [Wisłostrada, isPartOfPlanningCategory, main city road (Warsaw road classification)]
-
A.
categoryForPlanning
chosen
Indicates that something is assigned to a specific category used for organizing or structuring planning activities or processes.
-
B.
hasPlanningType
Indicates that an entity is associated with a specific category or type used for planning or scheduling purposes.
-
C.
isPartOfTransportPlan
Indicates that something is included as a component or element within a broader transport plan.
-
D.
plannedUnder
Indicates that one entity has been scheduled, organized, or arranged to occur within the scope, authority, or framework of another entity.
-
E.
partOfUrbanPlanBy
Indicates that something is included as a component or element within an urban plan created or overseen by a specified agent.
- 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_69f76e7011dc819082b324f18b756a1b |
completed | May 3, 2026, 3:49 p.m. |
| NER | Named-entity recognition | batch_69ffe613c03481909f3043ec8bf0bed9 |
completed | May 10, 2026, 1:57 a.m. |
| PD | Predicate disambiguation | batch_69ffe4a73fb4819091600725a443981a |
completed | May 10, 2026, 1:51 a.m. |
Created at: May 3, 2026, 4:12 p.m.