Triple
T17373706
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | O'Hare runway system |
E422379
|
entity |
| Predicate | hasRunway |
P105
|
FINISHED |
| Object | Runway 9L/27R |
—
|
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 9L/27R | Statement: [O'Hare runway system, hasRunway, Runway 9L/27R]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Runway 9L/27R Context triple: [O'Hare runway system, hasRunway, Runway 9L/27R]
-
A.
Runway 9L/27R
Runway 9L/27R is a primary paved runway used for aircraft takeoffs and landings at Orlando Sanford International Airport in Florida.
-
B.
Runway 9L/27R
Runway 9L/27R is a primary paved runway used for aircraft takeoffs and landings at Melbourne Orlando International Airport in Florida.
-
C.
Runway 9L/27R
Runway 9L/27R is a primary paved runway at Grand Forks International Airport used for aircraft takeoffs and landings.
-
D.
Runway 9L/27R
Runway 9L/27R is a designated landing and takeoff strip at Boulder City Municipal Airport used for fixed-wing aircraft operations.
-
E.
Runway 9L/27R
chosen
Runway 9L/27R is a major east–west runway at Chicago O'Hare International Airport used for both arrivals and departures to help handle the airport’s heavy traffic.
- 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_69d889d6535c81908be333c01deaec4e |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e43a6a9ec881908bfe49413826d37e |
completed | April 19, 2026, 2:14 a.m. |
Created at: April 10, 2026, 5:44 a.m.