Triple
T21458826
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | KCIC |
E529414
|
entity |
| Predicate | hasRunway |
P105
|
FINISHED |
| Object |
Runway 13R/31L
Runway 13R/31L is a designated aircraft landing and takeoff strip at KCIC (Chico Municipal Airport) in California.
|
E1489134
|
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: Runway 13R/31L | Statement: [KCIC, hasRunway, Runway 13R/31L]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Runway 13R/31L Context triple: [KCIC, hasRunway, Runway 13R/31L]
-
A.
Runway 13R/31L
Runway 13R/31L is a principal runway at El Dorado International Airport in Bogotá, Colombia, used for handling a significant portion of the airport’s commercial air traffic.
-
B.
Runway 13R/31L
Runway 13R/31L is a primary paved runway at William P. Hobby Airport in Houston, Texas, used for commercial and general aviation operations.
-
C.
Runway 13R/31L
Runway 13R/31L is a primary paved runway used for military flight training and operations at Columbus Air Force Base in Mississippi.
-
D.
Runway 13R/31L
Runway 13R/31L is a primary paved runway at Hillsboro Airport in Oregon, used for general aviation and flight training operations.
-
E.
Runway 13R/31L
Runway 13R/31L is a primary paved runway at Dallas Love Field Airport used for commercial and general aviation 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: Runway 13R/31L Triple: [KCIC, hasRunway, Runway 13R/31L]
Generated description
Runway 13R/31L is a designated aircraft landing and takeoff strip at KCIC (Chico Municipal Airport) in California.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Runway 13R/31L Target entity description: Runway 13R/31L is a designated aircraft landing and takeoff strip at KCIC (Chico Municipal Airport) in California.
-
A.
Runway 13R/31L
Runway 13R/31L is a primary paved runway at Palm Springs International Airport used for commercial and general aviation takeoffs and landings.
-
B.
Runway 13R/31L
Runway 13R/31L is a primary paved runway used for aircraft takeoffs and landings at San Antonio International Airport in Texas.
-
C.
Runway 13R/31L
Runway 13R/31L is a primary paved runway at Hillsboro Airport in Oregon, used for general aviation and flight training operations.
-
D.
Runway 13R/31L
Runway 13R/31L is one of the primary paved runways at Chicago Midway International Airport, used for handling a significant share of the airport’s takeoff and landing traffic.
-
E.
Runway 13R/31L
Runway 13R/31L is a primary paved runway at Dallas Love Field Airport used for commercial and general aviation 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_69e0c458133481908ae8b41a12c4edec |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69e9e9ec254081909a703056022f4f45 |
completed | April 23, 2026, 9:44 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a09e8167d6081908b68ca932c184894 |
completed | May 17, 2026, 4:08 p.m. |
| NEDg | Description generation | batch_6a09e8d6d1a88190b3f48111ed6a4043 |
completed | May 17, 2026, 4:12 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a09e94d6f2c819097df5c0a2b59e63a |
completed | May 17, 2026, 4:14 p.m. |
Created at: April 16, 2026, 6:08 p.m.