Triple
T10546159
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | KBOS airfield |
E248823
|
entity |
| Predicate | hasRunway |
P105
|
FINISHED |
| Object | Runway 15L/33R |
E885089
|
NE 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: Runway 15L/33R | Statement: [KBOS airfield, hasRunway, Runway 15L/33R]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Runway 15L/33R Context triple: [KBOS airfield, hasRunway, Runway 15L/33R]
-
A.
Runway 15L/33R
Runway 15L/33R is one of the primary paved runways at Baltimore/Washington International Thurgood Marshall Airport, used for handling commercial air traffic in both directions.
-
B.
Runway 15L/33R
Runway 15L/33R is one of the primary paved runways at Santa Barbara Municipal Airport, used for general aviation and commercial aircraft operations.
-
C.
Runway 15L/33R
Runway 15L/33R is one of the primary paved runways used for aircraft takeoffs and landings at Long Island MacArthur Airport in New York.
-
D.
Runway 15L/33R
Runway 15L/33R is one of the primary paved runways at Baghdad International Airport, used for handling commercial and military air traffic.
-
E.
Runway 15L/33R
chosen
Runway 15L/33R is one of the primary paved runways at Boston Logan International Airport, used for both arrivals and departures under various wind and traffic conditions.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69d381c733c08190ab1dd6239f5f34ae |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d5191345ac81909bc404ba9574ce4c |
completed | April 7, 2026, 2:47 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e462472ed88190a76b04157c235c80 |
completed | April 19, 2026, 5:04 a.m. |
Created at: April 6, 2026, 12:33 p.m.