Triple
T21893645
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | National Airport |
E540618
|
entity |
| Predicate | distanceFromDowntownWashingtonDC |
P15076
|
FINISHED |
| Object | approximately 3 miles |
—
|
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: approximately 3 miles | Statement: [National Airport, distanceFromDowntownWashingtonDC, approximately 3 miles]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: distanceFromDowntownWashingtonDC Context triple: [National Airport, distanceFromDowntownWashingtonDC, approximately 3 miles]
-
A.
distanceToWashingtonDC
chosen
Indicates the physical distance between a given location and Washington, D.C.
-
B.
distanceToWashingtonMonument
Indicates the physical distance between a given entity’s location and the Washington Monument.
-
C.
distanceFromFord’sTheatre
Indicates the spatial distance between an entity and Ford’s Theatre.
-
D.
distanceFromDowntown
Indicates the physical distance between a given location and the central downtown area.
-
E.
distanceFromPortWashington
Indicates the measured distance between a given location and Port Washington.
- 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_69e0c47a95908190ae3e19b716accb3d |
completed | April 16, 2026, 11:14 a.m. |
| NER | Named-entity recognition | batch_69f11fc539708190a42f202e7404a213 |
completed | April 28, 2026, 8:59 p.m. |
| PD | Predicate disambiguation | batch_69e6be9a65888190a66598d62d20366c |
completed | April 21, 2026, 12:02 a.m. |
Created at: April 16, 2026, 7:07 p.m.