Triple
T23148691
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | KSRQ |
E578262
|
entity |
| Predicate | hasIATAcode |
P2569
|
FINISHED |
| Object | SRQ |
—
|
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: SRQ | Statement: [KSRQ, hasIATAcode, SRQ]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: SRQ Context triple: [KSRQ, hasIATAcode, SRQ]
-
A.
SRQ
chosen
SRQ is a three-letter abbreviation most commonly recognized as the IATA airport code for Sarasota–Bradenton International Airport in Florida, USA.
-
B.
Sanford, Florida
Sanford, Florida is a historic city in central Florida on the southern shore of Lake Monroe, known as a transportation hub and gateway to the Orlando metropolitan area.
-
C.
Sebring, Florida
Sebring, Florida is a small central Florida city known for its historic downtown, surrounding lakes, and the Sebring International Raceway, home of the 12 Hours of Sebring endurance race.
-
D.
Sanford
Sanford is a small rural town located in Conejos County in southern Colorado, known for its agricultural surroundings and close-knit community.
-
E.
Sanford
Sanford is a small town located in Covington County in the southern part of the U.S. state of Alabama.
- 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_69e245fb8de081908f0eba7b5fd75bc4 |
completed | April 17, 2026, 2:38 p.m. |
| NER | Named-entity recognition | batch_69f18ecf9e9881908991ede784158f1e |
completed | April 29, 2026, 4:53 a.m. |
Created at: April 17, 2026, 4:01 p.m.