Triple
T5578574
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Schaumburg Regional Airport |
E146582
|
entity |
| Predicate | hasICAOcode |
P419
|
FINISHED |
| Object |
K06C
K06C is the ICAO airport code assigned to Schaumburg Regional Airport in Illinois, United States.
|
E531809
|
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: K06C | Statement: [Schaumburg Regional Airport, hasICAOcode, K06C]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: K06C Context triple: [Schaumburg Regional Airport, hasICAOcode, K06C]
-
A.
K-10
K-10 is a state highway in Kansas that serves as a major east–west commuter and connector route in the Kansas City metropolitan area.
-
B.
J60
The J60 is a generation of the Toyota Land Cruiser known for its rugged, body-on-frame SUV design and strong off-road capability produced primarily in the 1980s.
-
C.
C90
C90 is the informal name for the 1990 standardization of the C programming language defined by ISO/IEC 9899.
-
D.
C90
C90 is a popular Honda Super Cub variant, a small-displacement, step-through commuter motorcycle renowned for its reliability and widespread use worldwide.
-
E.
J6
J6 is the U.S. military staff directorate responsible for command, control, communications, and computer systems that enable joint 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: K06C Triple: [Schaumburg Regional Airport, hasICAOcode, K06C]
Generated description
K06C is the ICAO airport code assigned to Schaumburg Regional Airport in Illinois, United States.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: K06C Target entity description: K06C is the ICAO airport code assigned to Schaumburg Regional Airport in Illinois, United States.
-
A.
K-10
K-10 is a state highway in Kansas that serves as a major east–west commuter and connector route in the Kansas City metropolitan area.
-
B.
J60
The J60 is a generation of the Toyota Land Cruiser known for its rugged, body-on-frame SUV design and strong off-road capability produced primarily in the 1980s.
-
C.
C90
C90 is a popular Honda Super Cub variant, a small-displacement, step-through commuter motorcycle renowned for its reliability and widespread use worldwide.
-
D.
C90
C90 is the informal name for the 1990 standardization of the C programming language defined by ISO/IEC 9899.
-
E.
J6
J6 is the U.S. military staff directorate responsible for command, control, communications, and computer systems that enable joint 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_69c0090287a08190b4098411effe970c |
completed | March 22, 2026, 3:21 p.m. |
| NER | Named-entity recognition | batch_69c0206bfea08190aa2c8df9f88013ac |
completed | March 22, 2026, 5:01 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c02858a2388190a1e8c3efce8b066d |
completed | March 22, 2026, 5:35 p.m. |
| NEDg | Description generation | batch_69c03d15e8d48190b08d0903621fbdcb |
completed | March 22, 2026, 7:03 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69c03daa883c8190a787c40965408132 |
completed | March 22, 2026, 7:06 p.m. |
Created at: March 22, 2026, 3:37 p.m.