Triple
T1057537
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Regjeringskvartalet |
E22829
|
entity |
| Predicate | hasPlannedProject |
P14971
|
FINISHED |
| Object | new government quarter redevelopment |
—
|
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: new government quarter redevelopment | Statement: [Regjeringskvartalet, hasPlannedProject, new government quarter redevelopment]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasPlannedProject Context triple: [Regjeringskvartalet, hasPlannedProject, new government quarter redevelopment]
-
A.
hasProject
chosen
Indicates that an entity is associated with or responsible for a particular project.
-
B.
hasNotableProject
Indicates that an entity is associated with a project that is distinguished or recognized as significant in some way.
-
C.
hasPlan
Indicates that an entity possesses or is associated with a specific plan or course of action.
-
D.
hasPlannedInstitution
Indicates that an entity has an associated institution that is intended or scheduled to be established or implemented in the future.
-
E.
hasPlannedCity
Indicates that an entity has a city that was deliberately designed and constructed according to a prearranged plan.
- 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_69a493dada0481909c43649f9843ea91 |
completed | March 1, 2026, 7:30 p.m. |
| NER | Named-entity recognition | batch_69a4ba6e35ac8190802341c31bda0e3b |
completed | March 1, 2026, 10:15 p.m. |
| PD | Predicate disambiguation | batch_69a4b7340a048190807363f19d17a58f |
completed | March 1, 2026, 10:01 p.m. |
Created at: March 1, 2026, 7:42 p.m.