Triple
T7541420
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Runway 5 |
E178282
|
entity |
| Predicate | mayHaveParallelVariant |
P61247
|
FINISHED |
| Object | Runway 5R |
E692455
|
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 | Statement: [Runway 5, mayHaveParallelVariant, Runway 5R]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Runway 5R Context triple: [Runway 5, mayHaveParallelVariant, Runway 5R]
-
A.
Runway 5L
chosen
Runway 5L is a designated left-side runway in a parallel runway system at an airport, used to manage simultaneous takeoffs and landings alongside its counterpart runway.
-
B.
Runway 5/23
Runway 5/23 is a primary paved runway at Molokai Airport in Hawaii, used for handling the airport’s main commercial and general aviation traffic.
-
C.
Runway 5R/23L
Runway 5R/23L is a primary paved runway at Indianapolis International Airport used for commercial and cargo aircraft operations.
-
D.
Runway 5R/23L
Runway 5R/23L is a primary paved runway at Piedmont Triad International Airport in North Carolina, used for commercial and general aviation operations.
-
E.
Runway 5R/23L
Runway 5R/23L is a primary paved runway at Rickenbacker International Airport in Ohio, used for handling large commercial and cargo aircraft 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_69c69f2be3888190a6667a27f8f195e9 |
completed | March 27, 2026, 3:15 p.m. |
| NER | Named-entity recognition | batch_69c7017134608190bd51fb2d0ab1ff34 |
completed | March 27, 2026, 10:15 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ca47023570819082904801962f8dcb |
completed | March 30, 2026, 9:48 a.m. |
Created at: March 27, 2026, 3:48 p.m.