Triple
T2265824
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Springfield–Beckley Municipal Airport |
E50142
|
entity |
| Predicate | FAAIdentifier |
P420
|
FINISHED |
| Object | SGH |
E251580
|
NE FINISHED |
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: SGH | Statement: [Springfield–Beckley Municipal Airport, FAAIdentifier, SGH]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: SGH Context triple: [Springfield–Beckley Municipal Airport, FAAIdentifier, SGH]
-
A.
SGH
chosen
SGH is the IATA airport code for Springfield–Beckley Municipal Airport in Springfield, Ohio, United States.
-
B.
KSGH
KSGH is the ICAO airport code for Springfield–Beckley Municipal Airport in Springfield, Ohio, United States.
-
C.
SGN
SGN is the IATA airport code for Tan Son Nhat International Airport, the main international gateway serving Ho Chi Minh City, Vietnam.
-
D.
S8
S8 is a line of the Berlin S-Bahn urban rail network serving various districts across the Berlin metropolitan area.
-
E.
HK G3 series
The HK G3 series is a family of 7.62×51mm NATO battle rifles developed in the 1950s that became one of the most widely used and influential military rifles worldwide.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69a88b01e0048190ba96431b5f990ba9 |
completed | March 4, 2026, 7:41 p.m. |
| NER | Named-entity recognition | batch_69abc18fff0c8190acd73d8db8a41cff |
completed | March 7, 2026, 6:11 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ae7f0bb4d08190b7fa8815d691bdbb |
completed | March 9, 2026, 8:04 a.m. |
Created at: March 4, 2026, 7:48 p.m.