Triple
T21458827
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | KCIC |
E529414
|
entity |
| Predicate | hasRunway |
P105
|
FINISHED |
| Object | Runway 13L/31R |
—
|
NE NERFINISHED |
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 13L/31R | Statement: [KCIC, hasRunway, Runway 13L/31R]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Runway 13L/31R Context triple: [KCIC, hasRunway, Runway 13L/31R]
-
A.
Runway 13L/31R
chosen
Runway 13L/31R is one of the primary paved runways at Chicago Midway International Airport, used for both commercial and general aviation operations.
-
B.
Runway 13L/31R
Runway 13L/31R is one of the primary paved runways used for aircraft takeoffs and landings at Budapest Ferenc Liszt International Airport in Hungary.
-
C.
Runway 13L/31R
Runway 13L/31R is a primary paved runway used for aircraft takeoffs and landings at William P. Hobby Airport in Houston, Texas.
-
D.
Runway 13L/31R
Runway 13L/31R is one of the primary paved runways at Palm Springs International Airport, used for handling commercial and general aviation aircraft operations.
-
E.
Runway 13L/31R
Runway 13L/31R is a primary paved runway at Columbus Air Force Base in Mississippi, used for U.S. Air Force pilot training operations.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e0c458133481908ae8b41a12c4edec |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69e9e9ec254081909a703056022f4f45 |
completed | April 23, 2026, 9:44 a.m. |
Created at: April 16, 2026, 6:08 p.m.