Triple
T4191517
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | ORD |
E89046
|
entity |
| Predicate | hasRunway |
P105
|
FINISHED |
| Object | Runway 9R/27L |
E93758
|
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 9R/27L | Statement: [ORD, hasRunway, Runway 9R/27L]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Runway 9R/27L Context triple: [ORD, hasRunway, Runway 9R/27L]
-
A.
Runway 9/27
Runway 9/27 is a primary east–west runway at Memphis International Airport used for commercial and cargo aircraft operations.
-
B.
Runway 9/27
Runway 9/27 is a primary east–west runway at Tallahassee International Airport used for commercial and general aviation operations.
-
C.
Runway 09R/27L
chosen
Runway 09R/27L is a major east–west runway at Chicago O'Hare International Airport used for handling high volumes of commercial air traffic.
-
D.
Runway 09R/27L
Runway 09R/27L is one of the primary paved runways at Philadelphia International Airport, used for handling commercial air traffic in both eastbound and westbound directions.
-
E.
Runway 09R/27L
Runway 09R/27L is one of the primary operational runways at Kempegowda International Airport in Bengaluru, India, used for handling domestic and international air traffic.
- 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_69af034019848190bd5486521c375325 |
completed | March 9, 2026, 5:28 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69bfc1fe1188819097c3d382323571be |
completed | March 22, 2026, 10:18 a.m. |
Created at: March 9, 2026, 3:46 p.m.