Triple
T20922307
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Wheeling Ohio County Airport |
E515244
|
entity |
| Predicate | FAAcode |
P420
|
FINISHED |
| Object | HLG |
—
|
NE NERFINISHED |
How this triple was built (2 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: HLG | Statement: [Wheeling Ohio County Airport, FAAcode, HLG]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: HLG Context triple: [Wheeling Ohio County Airport, FAAcode, HLG]
-
A.
HLG
chosen
HLG is the IATA airport code for Wheeling Ohio County Airport, a public airport serving the Wheeling area in West Virginia, United States.
-
B.
HLU
HLU is the National Rail station code for Helensburgh Upper railway station in Argyll and Bute, Scotland.
-
C.
KHLG
KHLG is the ICAO airport code for Wheeling Ohio County Airport, a public airport serving the Wheeling area in West Virginia, United States.
-
D.
HLGD
HLGD is the ICAO airport code assigned to Gardabya Airport in Libya.
-
E.
HLF
HLF is the stock ticker symbol for Herbalife, a global multi-level marketing company that sells nutritional supplements and personal care products.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e0b4fb431c8190b9d40e6a72f0cc87 |
completed | April 16, 2026, 10:07 a.m. |
| NER | Named-entity recognition | batch_69e6f64f767481909deccd77b50bf4ae |
completed | April 21, 2026, 4 a.m. |
Created at: April 16, 2026, 12:49 p.m.