Triple
T3165858
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Potomac Yard–VT Metrorail station |
E66208
|
entity |
| Predicate | nearbyDevelopment |
P42156
|
FINISHED |
| Object | Amazon HQ2-related National Landing projects |
—
|
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: Amazon HQ2-related National Landing projects | Statement: [Potomac Yard–VT Metrorail station, nearbyDevelopment, Amazon HQ2-related National Landing projects]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: nearbyDevelopment Context triple: [Potomac Yard–VT Metrorail station, nearbyDevelopment, Amazon HQ2-related National Landing projects]
-
A.
hasNearbyDevelopmentCorridor
chosen
Indicates that an entity is located close to, or directly influenced by, a designated development corridor such as a planned or existing zone of concentrated growth or infrastructure.
-
B.
nearbyUrbanCenter
Indicates that one location is geographically close to an urban center, such as a city or large town.
-
C.
hasNearbyLandUse
Indicates that one land area is located close to another area characterized by a specific type of land use.
-
D.
builtNear
Indicates that one entity was constructed at a location geographically close to another entity.
-
E.
urbanDevelopment
Indicates the process or activities through which urban areas are planned, expanded, or transformed, including changes to infrastructure, land use, and the built environment.
- 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_69ad8585d7988190af37365331093ccd |
completed | March 8, 2026, 2:19 p.m. |
| NER | Named-entity recognition | batch_69ada6424ee48190a29891ffbbc3811d |
completed | March 8, 2026, 4:39 p.m. |
| PD | Predicate disambiguation | batch_69ad9dfe0a948190928f2201d671c654 |
completed | March 8, 2026, 4:04 p.m. |
Created at: March 8, 2026, 3:06 p.m.