Triple
T6315385
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Runway 09R/27L |
E141601
|
entity |
| Predicate | parallelTo |
P1868
|
FINISHED |
| Object | Runway 09L/27R |
unclear NED1
|
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 09L/27R | Statement: [Runway 09R/27L, parallelTo, Runway 09L/27R]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Runway 09L/27R Context triple: [Runway 09R/27L, parallelTo, Runway 09L/27R]
-
A.
Runway 09L/27R
Runway 09L/27R is a major east–west runway at Chicago O'Hare International Airport used for handling high volumes of commercial air traffic.
-
B.
Runway 09L/27R
Runway 09L/27R is one of London Heathrow Airport’s main east–west runways, used for a large share of its takeoffs and landings.
-
C.
Runway 09L/27R
Runway 09L/27R is one of the primary parallel runways used for commercial air traffic operations at São Paulo–Guarulhos International Airport in Brazil.
-
D.
Runway 09L/27R
Runway 09L/27R is a primary paved runway at Hannover Airport in Germany, used for commercial and passenger air traffic operations.
-
E.
Runway 09L/27R
Runway 09L/27R is one of the primary parallel runways used for commercial aircraft operations at Philadelphia International Airport.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide. chosen
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_69c008d13b8c8190be47d896eb735605 |
completed | March 22, 2026, 3:20 p.m. |
| NER | Named-entity recognition | batch_69c064a197488190946c4637b3c829a5 |
completed | March 22, 2026, 9:52 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c827415f248190aa80f425c8ac3a99 |
completed | March 28, 2026, 7:08 p.m. |
Created at: March 22, 2026, 4:28 p.m.