Triple
T6638863
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Statesville Regional Airport |
E150530
|
entity |
| Predicate | faaCode |
P420
|
FINISHED |
| Object |
SVH
SVH is the FAA location identifier for Statesville Regional Airport, a public airport serving the Statesville area in North Carolina.
|
E608262
|
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: SVH | Statement: [Statesville Regional Airport, faaCode, SVH]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: SVH Context triple: [Statesville Regional Airport, faaCode, SVH]
-
A.
HVF
HVF is a data-focused startup and innovation lab created by entrepreneur Max Levchin to explore and build companies around large-scale data problems.
-
B.
SHVO
SHVO is a New York–based real estate investment and development firm known for acquiring and redeveloping high-profile luxury and landmark properties.
-
C.
SBV
SBV is the central bank of Vietnam, responsible for issuing the national currency and overseeing the country’s monetary and banking systems.
-
D.
SVHS
SVHS is a public high school in French Lick, Indiana, serving students in the Springs Valley School Corporation.
-
E.
SV
SV is the two-letter ISO 3166-1 alpha-2 country code assigned to El Salvador.
- 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: SVH Triple: [Statesville Regional Airport, faaCode, SVH]
Generated description
SVH is the FAA location identifier for Statesville Regional Airport, a public airport serving the Statesville area in North Carolina.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: SVH Target entity description: SVH is the FAA location identifier for Statesville Regional Airport, a public airport serving the Statesville area in North Carolina.
-
A.
HVF
HVF is a data-focused startup and innovation lab created by entrepreneur Max Levchin to explore and build companies around large-scale data problems.
-
B.
SHVO
SHVO is a New York–based real estate investment and development firm known for acquiring and redeveloping high-profile luxury and landmark properties.
-
C.
SBV
SBV is the central bank of Vietnam, responsible for issuing the national currency and overseeing the country’s monetary and banking systems.
-
D.
SVHS
SVHS is a public high school in French Lick, Indiana, serving students in the Springs Valley School Corporation.
-
E.
SV
SV is the two-letter ISO 3166-1 alpha-2 country code assigned to El Salvador.
- 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.