Triple
T16320201
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | KSDF |
E396270
|
entity |
| Predicate | hasIATACode |
P2569
|
FINISHED |
| Object | SDF |
E92431
|
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: SDF | Statement: [KSDF, hasIATACode, SDF]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: SDF Context triple: [KSDF, hasIATACode, SDF]
-
A.
SDF
SDF is the acronym for the SAARC Development Fund, a regional financial institution that supports social, economic, and infrastructure development projects among South Asian Association for Regional Cooperation member countries.
-
B.
SDF
The SDF (Syrian Democratic Forces) is a multi-ethnic, Kurdish-led military alliance in Syria that has been a primary ground force against ISIS and a key armed wing of the Autonomous Administration of North and East Syria.
-
C.
SDF
chosen
SDF is the IATA airport code for Louisville Muhammad Ali International Airport, a major air cargo and passenger hub serving Louisville, Kentucky.
-
D.
SDSF
SDSF is an IBM mainframe subsystem used to monitor, manage, and control JES spool, jobs, and system resources in OS/390 and z/OS environments.
-
E.
SFD
SFD is the National Rail station code for Salford Central railway station in Greater Manchester, England.
- 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_69d87f255b788190a400eba031dd85d8 |
completed | April 10, 2026, 4:40 a.m. |
| NER | Named-entity recognition | batch_69e296b4ad448190b2b195a5e0032c6e |
completed | April 17, 2026, 8:23 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a00260904748190ae1eb5713a6daa68 |
completed | May 10, 2026, 6:30 a.m. |
Created at: April 10, 2026, 5:06 a.m.