Triple
T6638862
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Statesville Regional Airport |
E150530
|
entity |
| Predicate | icaoCode |
P419
|
FINISHED |
| Object |
KSVH
KSVH is the ICAO code for Statesville Regional Airport, a public airport serving the Statesville area in North Carolina, United States.
|
E608261
|
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: KSVH | Statement: [Statesville Regional Airport, icaoCode, KSVH]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: KSVH Context triple: [Statesville Regional Airport, icaoCode, KSVH]
-
A.
KSGH
KSGH is the ICAO airport code for Springfield–Beckley Municipal Airport in Springfield, Ohio, United States.
-
B.
KHC
KHC is a selective interdisciplinary honors college at Boston University that offers an enriched curriculum and close-knit academic community for high-achieving undergraduates.
-
C.
KLSV
KLSV is the ICAO airport code for Nellis Air Force Base, a major United States Air Force installation near Las Vegas, Nevada.
-
D.
KHVN
KHVN is the ICAO airport code for Tweed New Haven Airport, a regional airport serving New Haven, Connecticut.
-
E.
KVB
KVB is a French train protection and automatic speed control system used to enhance the safety of railway 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: KSVH Triple: [Statesville Regional Airport, icaoCode, KSVH]
Generated description
KSVH is the ICAO code for Statesville Regional Airport, a public airport serving the Statesville area in North Carolina, United States.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: KSVH Target entity description: KSVH is the ICAO code for Statesville Regional Airport, a public airport serving the Statesville area in North Carolina, United States.
-
A.
KSGH
KSGH is the ICAO airport code for Springfield–Beckley Municipal Airport in Springfield, Ohio, United States.
-
B.
KHC
KHC is a selective interdisciplinary honors college at Boston University that offers an enriched curriculum and close-knit academic community for high-achieving undergraduates.
-
C.
KLSV
KLSV is the ICAO airport code for Nellis Air Force Base, a major United States Air Force installation near Las Vegas, Nevada.
-
D.
KHVN
KHVN is the ICAO airport code for Tweed New Haven Airport, a regional airport serving New Haven, Connecticut.
-
E.
KVB
KVB is a French train protection and automatic speed control system used to enhance the safety of railway 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_69c687f0ceb08190bf40807bfc605fa5 |
completed | March 27, 2026, 1:36 p.m. |
| NER | Named-entity recognition | batch_69c6aff082b0819089f5a69aa67d5346 |
completed | March 27, 2026, 4:27 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c6e455edb88190983f74f39e55665c |
completed | March 27, 2026, 8:11 p.m. |
| NEDg | Description generation | batch_69c6e8584bd08190bb45747aca6e9327 |
completed | March 27, 2026, 8:28 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69c6e8dcc9bc819099ba39f67677195b |
completed | March 27, 2026, 8:30 p.m. |
Created at: March 27, 2026, 2 p.m.