Triple
T23440663
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | St. Pete–Clearwater International Airport |
E565389
|
entity |
| Predicate | ICAO code |
P419
|
FINISHED |
| Object | KPIE |
—
|
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: KPIE | Statement: [St. Pete–Clearwater International Airport, ICAO code, KPIE]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: KPIE Context triple: [St. Pete–Clearwater International Airport, ICAO code, KPIE]
-
A.
KPIE
chosen
KPIE is the ICAO airport code for St. Pete–Clearwater International Airport, a commercial airport serving the Tampa Bay area in Florida, United States.
-
B.
KPIA
KPIA is the ICAO airport code for General Wayne A. Downing Peoria International Airport, a commercial and general aviation airport serving the Peoria, Illinois area.
-
C.
KPI
KPI is a major Ukrainian technical university in Kyiv, renowned for its engineering, science, and technology programs.
-
D.
KPII
KPII is the station code for Knowledge Park II railway station in Greater Noida, Uttar Pradesh, India.
-
E.
KPIB
KPIB is the ICAO airport code for Hattiesburg–Laurel Regional Airport in Mississippi, United States.
- 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_69e24584f9488190bb32730bd2ce023e |
completed | April 17, 2026, 2:36 p.m. |
| NER | Named-entity recognition | batch_69f1a5df28288190936f16b017a20bc0 |
completed | April 29, 2026, 6:31 a.m. |
Created at: April 17, 2026, 5:50 p.m.