Triple
T6818404
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Herndon station |
E156829
|
entity |
| Predicate | nearbyAirportCorridor |
P73238
|
FINISHED |
| Object | Washington Dulles International Airport area |
—
|
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: Washington Dulles International Airport area | Statement: [Herndon station, nearbyAirportCorridor, Washington Dulles International Airport area]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: nearbyAirportCorridor Context triple: [Herndon station, nearbyAirportCorridor, Washington Dulles International Airport area]
-
A.
nearestAirport
Indicates that one airport is the closest in distance to a given location or entity compared to all other airports.
-
B.
nearbyAirportTerminal
Indicates that one airport terminal is located close to another airport terminal in physical space.
-
C.
hasNearbyGeneralAviationAirport
Indicates that an entity is located close to a general aviation airport, such that the airport can reasonably serve it for non-commercial or private air traffic.
-
D.
airportLocatedNear
Indicates that an airport is situated close to a specified place or geographic feature.
-
E.
associatedAirport
Indicates a relationship where an entity is linked or connected to a specific airport, typically as its relevant or corresponding airport.
- F. None of above. chosen
Provenance (4 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_69c688298a288190af3f285d57f76bbe |
completed | March 27, 2026, 1:37 p.m. |
| NER | Named-entity recognition | batch_69c6d355b52081909f037cec76bdccf6 |
completed | March 27, 2026, 6:58 p.m. |
| PD | Predicate disambiguation | batch_69c6d09bb4f881909bf20c188cb3e8e1 |
completed | March 27, 2026, 6:46 p.m. |
| PDg | Predicate description generation | batch_69c6d1d5f1908190989efc8a2d18c965 |
completed | March 27, 2026, 6:52 p.m. |
Created at: March 27, 2026, 2:17 p.m.