Triple
T4191552
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | KORD |
E89047
|
entity |
| Predicate | usesRunway |
P1654
|
FINISHED |
| Object | Runway 10R/28L |
E99931
|
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 10R/28L | Statement: [KORD, usesRunway, Runway 10R/28L]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Runway 10R/28L Context triple: [KORD, usesRunway, Runway 10R/28L]
-
A.
Runway 10R/28L
chosen
Runway 10R/28L is one of a pair of parallel runways at an airport, designated for operations in the 100° and 280° directions.
-
B.
Runway 10L/28R
Runway 10L/28R is one of the primary parallel runways at San Francisco International Airport, used extensively for both arrivals and departures.
-
C.
Runway 10L/28R
Runway 10L/28R is a primary paved runway used for aircraft takeoffs and landings at John Glenn Columbus International Airport in Columbus, Ohio.
-
D.
Runway 10L/28R
Runway 10L/28R is a primary east–west runway at Dublin Airport used for commercial aircraft takeoffs and landings.
-
E.
Runway 10L/28R
Runway 10L/28R is a primary east–west runway at Oakland International Airport used for commercial and general aviation operations.
- 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_69aed9569a4481908b6c1fcec2a11e21 |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69af034169f88190a8eb170ba6008b79 |
completed | March 9, 2026, 5:28 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69bfcb931f908190b72d825b95ae4861 |
completed | March 22, 2026, 10:59 a.m. |
Created at: March 9, 2026, 3:46 p.m.