Triple
T4417132
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tysons Comprehensive Plan for urban transformation |
E95001
|
entity |
| Predicate | instanceOf |
P0
|
FINISHED |
| Object | long-range planning framework |
C7550
|
CONCEPT FINISHED |
How this triple was built (1 step)
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.
CD
Concept disambiguation
gpt-5-mini-2025-08-07
Target class: long-range planning framework Context triple: [Tysons Comprehensive Plan for urban transformation, instanceOf, long-range planning framework]
-
A.
long-term plan
chosen
A long-term plan is a structured, forward-looking strategy that outlines major goals and the sequence of actions needed to achieve them over an extended period of time.
-
B.
United Nations strategic planning framework
The United Nations strategic planning framework is a structured, organization-wide approach that aligns UN mandates, goals, resources, and performance measures to guide coherent, long-term action across agencies and member states.
-
C.
scaling framework
A scaling framework is a structured approach that defines the principles, processes, and tools needed to grow a system, organization, or product efficiently and sustainably as demand increases.
-
D.
planning library
A planning library is a reusable collection of algorithms, data structures, and tools that support the creation, evaluation, and optimization of plans or schedules within software applications.
-
E.
multidisciplinary framework
A multidisciplinary framework is an integrated structure that combines theories, methods, and perspectives from multiple academic or professional fields to address complex problems more comprehensively.
- F. None of above.
Provenance (1 batch)
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_69b3453a36908190b95a79a297ca083c |
completed | March 12, 2026, 10:59 p.m. |
Created at: March 12, 2026, 11:29 p.m.