Triple
T2764474
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | LaGuardia Airport |
E61301
|
entity |
| Predicate | hasRunway |
P105
|
FINISHED |
| Object | Runway 04/22 |
E61303
|
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 04/22 | Statement: [LaGuardia Airport, hasRunway, Runway 04/22]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Runway 04/22 Context triple: [LaGuardia Airport, hasRunway, Runway 04/22]
-
A.
Runway 04/22
Runway 04/22 is a primary paved runway at Palmdale Regional Airport in California, used for general aviation and regional air traffic operations.
-
B.
Runway 04/22
chosen
Runway 04/22 is one of LaGuardia Airport’s primary runways, used for handling a significant portion of the airport’s takeoff and landing traffic.
-
C.
Runway 04L/22R
Runway 04L/22R is one of the primary parallel runways at Chicago O'Hare International Airport, used for handling high volumes of commercial air traffic.
-
D.
Runway 04L/22R
Runway 04L/22R is one of the primary paved runways used for aircraft takeoffs and landings at Wuhan Tianhe International Airport in Wuhan, China.
-
E.
Runway 4/22
Runway 4/22 is one of the primary runways at Ronald Reagan Washington National Airport in Arlington, Virginia, serving commercial air traffic for the Washington, D.C. area.
- 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_69ab4b7bab6c8190a5c2efef19a8ef34 |
completed | March 6, 2026, 9:47 p.m. |
| NER | Named-entity recognition | batch_69abdd541c2c8190a983a6f6a0b24ed9 |
completed | March 7, 2026, 8:09 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b5281079fc8190a69ae43b14407736 |
completed | March 14, 2026, 9:19 a.m. |
Created at: March 6, 2026, 9:57 p.m.