Triple
T4576809
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rietlanden |
E123157
|
entity |
| Predicate | partOfUrbanProject |
P30278
|
FINISHED |
| Object | redevelopment of Amsterdam Eastern Docklands |
—
|
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: redevelopment of Amsterdam Eastern Docklands | Statement: [Rietlanden, partOfUrbanProject, redevelopment of Amsterdam Eastern Docklands]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: partOfUrbanProject Context triple: [Rietlanden, partOfUrbanProject, redevelopment of Amsterdam Eastern Docklands]
-
A.
partOfUrbanPlanBy
Indicates that something is included as a component or element within an urban plan created or overseen by a specified agent.
-
B.
mainUrbanPlan
Indicates the primary urban planning scheme or framework that governs the development and organization of a given area.
-
C.
urbanComponent
chosen
Indicates that something functions as a constituent part or element within an urban area or city system.
-
D.
partOfUrbanPlanningMovement
Indicates that something belongs to, is associated with, or contributes to a specific urban planning movement or school of thought.
-
E.
smartCityProjects
Indicates a relationship where a city undertakes or is associated with projects that apply digital, data-driven, or intelligent technologies to improve urban services and infrastructure.
- 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_69bd46466c7081909d07f36be2d08804 |
completed | March 20, 2026, 1:06 p.m. |
| NER | Named-entity recognition | batch_69bd58e153908190ac8f578e03aecdfc |
completed | March 20, 2026, 2:25 p.m. |
| PD | Predicate disambiguation | batch_69bd5228b70c8190ac48705e35a710c1 |
completed | March 20, 2026, 1:56 p.m. |
Created at: March 20, 2026, 1:10 p.m.