Triple
T19839557
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | San Antonio International Airport |
E476688
|
entity |
| Predicate | runway |
P1654
|
FINISHED |
| Object |
13L/31R
13L/31R is a primary paved runway at San Antonio International Airport used for commercial and general aviation takeoffs and landings.
|
E1398626
|
NE FINISHED |
How this triple was built (4 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: 13L/31R | Statement: [San Antonio International Airport, runway, 13L/31R]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: 13L/31R Context triple: [San Antonio International Airport, runway, 13L/31R]
-
A.
13R/31L
13R/31L is a major runway at Dallas/Fort Worth International Airport used for handling high volumes of commercial air traffic.
-
B.
01L/19R
01L/19R is one of the primary paved runways at New Chitose Airport in Hokkaido, Japan, used for handling commercial air traffic.
-
C.
15R/33L
15R/33L is a primary north–south runway at George Bush Intercontinental Airport in Houston, Texas, used for both arrivals and departures of commercial air traffic.
-
D.
12R/30L
12R/30L is a primary paved runway at St. Louis Lambert International Airport used for aircraft takeoffs and landings.
-
E.
10L/28R
10L/28R is a primary east–west runway at Port Columbus International Airport used for commercial aircraft operations.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: 13L/31R Triple: [San Antonio International Airport, runway, 13L/31R]
Generated description
13L/31R is a primary paved runway at San Antonio International Airport used for commercial and general aviation takeoffs and landings.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: 13L/31R Target entity description: 13L/31R is a primary paved runway at San Antonio International Airport used for commercial and general aviation takeoffs and landings.
-
A.
13R/31L
13R/31L is a major runway at Dallas/Fort Worth International Airport used for handling high volumes of commercial air traffic.
-
B.
01L/19R
01L/19R is one of the primary paved runways at New Chitose Airport in Hokkaido, Japan, used for handling commercial air traffic.
-
C.
15R/33L
15R/33L is a primary north–south runway at George Bush Intercontinental Airport in Houston, Texas, used for both arrivals and departures of commercial air traffic.
-
D.
12R/30L
12R/30L is a primary paved runway at St. Louis Lambert International Airport used for aircraft takeoffs and landings.
-
E.
10L/28R
10L/28R is a primary east–west runway at Port Columbus International Airport used for commercial aircraft operations.
- F. None of above. chosen
Provenance (5 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_69d8e51d39d081909bcfafeaaf3d2fcc |
completed | April 10, 2026, 11:55 a.m. |
| NER | Named-entity recognition | batch_69e65804be608190b49e110c3bf381bc |
completed | April 20, 2026, 4:44 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a07d436990481908bb488d3935fa773 |
completed | May 16, 2026, 2:19 a.m. |
| NEDg | Description generation | batch_6a07d5ec45208190a75365a4a411aa7c |
completed | May 16, 2026, 2:26 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a07d6ffc6508190aa9df66c2cf3d532 |
completed | May 16, 2026, 2:31 a.m. |
Created at: April 10, 2026, 1:50 p.m.