Triple
T885163
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dallas Love Field |
E19113
|
entity |
| Predicate | hasRunway |
P105
|
FINISHED |
| Object | Runway 13R/31L |
E114040
|
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 13R/31L | Statement: [Dallas Love Field, hasRunway, Runway 13R/31L]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Runway 13R/31L Context triple: [Dallas Love Field, hasRunway, Runway 13R/31L]
-
A.
Runway 13L/31R
Runway 13L/31R is one of the primary paved runways at Chicago Midway International Airport, used for both commercial and general aviation operations.
-
B.
Runway 13L/31R
chosen
Runway 13L/31R is one of the primary paved runways at Dallas Love Field Airport, used for commercial and general aviation takeoffs and landings.
-
C.
Runway 13C/31C
Runway 13C/31C is one of the primary central runways used for aircraft takeoffs and landings at Chicago Midway International Airport.
-
D.
Runway 15R/33L
Runway 15R/33L is one of the primary parallel runways at Boston Logan International Airport, used for both arrivals and departures.
-
E.
Runway 11R/29L
Runway 11R/29L is one of the primary operational runways at Indira Gandhi International Airport in Delhi, India, used for handling high volumes of 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_69a4939c32488190a7ccd41cf0abb22b |
completed | March 1, 2026, 7:29 p.m. |
| NER | Named-entity recognition | batch_69a4ace5e15c81908cc2e648c9cd52f2 |
completed | March 1, 2026, 9:17 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ac16f9d07c819097b9cf95d2b708f7 |
completed | March 7, 2026, 12:15 p.m. |
Created at: March 1, 2026, 7:39 p.m.