Triple
T25908279
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Zenne River |
E652815
|
entity |
| Predicate | influencedUrbanPlanningOf |
P126952
|
FINISHED |
| Object | Brussels |
—
|
NE NERFINISHED |
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: Brussels | Statement: [Zenne River, influencedUrbanPlanningOf, Brussels]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: influencedUrbanPlanningOf Context triple: [Zenne River, influencedUrbanPlanningOf, Brussels]
-
A.
urbanPlanningInfluencedBy
chosen
Indicates that the principles, decisions, or outcomes of urban planning are shaped or guided by another factor, entity, or process.
-
B.
hasUrbanPlanning
Indicates that an entity is involved in, responsible for, or characterized by activities or attributes related to urban planning.
-
C.
hasUrbanPlanningImportance
Indicates that something plays a significant role or has notable relevance in the context of urban planning decisions, policies, or outcomes.
-
D.
appliedInUrbanPlanning
Indicates that something (such as a method, concept, or technology) is used or implemented within the context of urban planning activities or processes.
-
E.
influencedParkDevelopment
Indicates that one entity had a causal or shaping effect on how a park was planned, designed, or developed.
- 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_69e7ab3d3f8481909bc53ed64c06af33 |
completed | April 21, 2026, 4:52 p.m. |
| NER | Named-entity recognition | batch_69f67257b0448190a13011af81c81449 |
completed | May 2, 2026, 9:53 p.m. |
| PD | Predicate disambiguation | batch_69f66ec3d3d48190ab2f2b71939e572e |
completed | May 2, 2026, 9:38 p.m. |
Created at: April 22, 2026, 8:27 a.m.