Triple
T1980027
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | McGhee Tyson Airport |
E43003
|
entity |
| Predicate | hasRunway |
P105
|
FINISHED |
| Object | Runway 5R/23L |
E273176
|
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 5R/23L | Statement: [McGhee Tyson Airport, hasRunway, Runway 5R/23L]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Runway 5R/23L Context triple: [McGhee Tyson Airport, hasRunway, Runway 5R/23L]
-
A.
Runway 5L/23R
chosen
Runway 5L/23R is a primary paved runway at McGhee Tyson Airport in Tennessee, used for commercial and general aviation operations.
-
B.
Runway 05R/23L
Runway 05R/23L is one of the main parallel runways at Manchester Airport in the United Kingdom, used for handling commercial air traffic.
-
C.
Runway 05L/23R
Runway 05L/23R is one of the main parallel runways at Manchester Airport, used for handling a high volume of commercial air traffic.
-
D.
Runway 15R/33L
Runway 15R/33L is one of the primary parallel runways at Boston Logan International Airport, used for both arrivals and departures.
-
E.
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.
- 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_69a88713ddc88190a969715658ebe7a8 |
completed | March 4, 2026, 7:25 p.m. |
| NER | Named-entity recognition | batch_69abb7c87bc081908ed179d1ca94fa3b |
completed | March 7, 2026, 5:29 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69af2b526edc8190b4958f63268c6e97 |
completed | March 9, 2026, 8:19 p.m. |
Created at: March 4, 2026, 7:37 p.m.