Triple
T34471178
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Crystal Drive, Arlington, Virginia |
E884911
|
entity |
| Predicate | withinPlanningArea |
P55551
|
FINISHED |
| Object | National Landing area |
—
|
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: National Landing area | Statement: [Crystal Drive, Arlington, Virginia, withinPlanningArea, National Landing area]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: withinPlanningArea Context triple: [Crystal Drive, Arlington, Virginia, withinPlanningArea, National Landing area]
-
A.
plannedArea
Indicates that an area is designated or intended for a specific planned use or development.
-
B.
hasAreaPlanningCommission
Indicates that an entity is under the jurisdiction or oversight of a specific area planning commission.
-
C.
hasUrbanPlanningZone
Indicates that an area or property is designated as belonging to a specific urban planning zone within a planning or zoning scheme.
-
D.
partOfPlanningRegion
chosen
Indicates that one entity is included within, or belongs to, a larger designated planning region.
-
E.
withinCommunityAreaSystem
Indicates that an entity is located inside or falls under the spatial or organizational scope of a defined community area system.
- 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_69f349c880408190ade571c471ab154a |
completed | April 30, 2026, 12:23 p.m. |
| NER | Named-entity recognition | batch_69f71fb1ab3881908e2f7c0e6f23db49 |
completed | May 3, 2026, 10:13 a.m. |
| PD | Predicate disambiguation | batch_69f71cc6397881909aaad37a9daa8a7e |
completed | May 3, 2026, 10 a.m. |
Created at: May 1, 2026, 2:01 a.m.