Triple
T20789893
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | SZG |
E511744
|
entity |
| Predicate | threeLetterCode |
P418
|
FINISHED |
| Object | SZG |
—
|
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: SZG | Statement: [SZG, threeLetterCode, SZG]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: SZG Context triple: [SZG, threeLetterCode, SZG]
-
A.
SZG
chosen
SZG is the three-letter IATA airport code for Salzburg Airport in Salzburg, Austria.
-
B.
SZS
SZS is the ICAO airline designator assigned to SAS Ireland, a subsidiary carrier operating flights on behalf of Scandinavian Airlines.
-
C.
SZL
SZL is the ISO 4217 currency code for the Swazi lilangeni, the official currency of Eswatini.
-
D.
SZL
SZL is the IATA airport code for Whiteman Air Force Base, a United States Air Force installation in Missouri.
-
E.
SZF
SZF is the commonly used abbreviation for the Faculty of Social Sciences at the University of Latvia, encompassing disciplines such as sociology, communication, and political science.
- 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_69e0b4cb83948190bd57bec21d78ed53 |
completed | April 16, 2026, 10:07 a.m. |
| NER | Named-entity recognition | batch_69e6c28f0e1081909f18dddfc6ec084c |
completed | April 21, 2026, 12:19 a.m. |
Created at: April 16, 2026, 12:38 p.m.