Triple
T776786
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Louisville, Kentucky |
E16402
|
entity |
| Predicate | IATAAirportCode |
P418
|
FINISHED |
| Object |
SDF
SDF is the IATA airport code for Louisville Muhammad Ali International Airport, a major air cargo and passenger hub serving Louisville, Kentucky.
|
E92431
|
NE FINISHED |
How this triple was built (4 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: [Louisville, Kentucky, IATAAirportCode, SDF]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: SDF Context triple: [Louisville, Kentucky, IATAAirportCode, SDF]
-
A.
SIF
SIF is the governing body for ice hockey in Sweden, overseeing the national teams and domestic competitions.
-
B.
SF
SF is the standard two-letter postal abbreviation used to represent the city of San Francisco, California.
-
C.
DDF
DDF is the commonly used abbreviation for the Dicastery for the Doctrine of the Faith, the Vatican department responsible for promoting and safeguarding Catholic doctrine.
-
D.
SLD
SLD was a particle physics experiment at the SLAC Linear Collider that made precision measurements of electroweak interactions, including properties of the Z boson.
-
E.
SMF
SMF is the three-letter IATA airport code for Sacramento International Airport, the primary commercial airport serving California’s capital city.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: SDF Triple: [Louisville, Kentucky, IATAAirportCode, SDF]
Generated description
SDF is the IATA airport code for Louisville Muhammad Ali International Airport, a major air cargo and passenger hub serving Louisville, Kentucky.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: SDF Target entity description: SDF is the IATA airport code for Louisville Muhammad Ali International Airport, a major air cargo and passenger hub serving Louisville, Kentucky.
-
A.
SIF
SIF is the governing body for ice hockey in Sweden, overseeing the national teams and domestic competitions.
-
B.
SF
SF is the standard two-letter postal abbreviation used to represent the city of San Francisco, California.
-
C.
DDF
DDF is the commonly used abbreviation for the Dicastery for the Doctrine of the Faith, the Vatican department responsible for promoting and safeguarding Catholic doctrine.
-
D.
SLD
SLD was a particle physics experiment at the SLAC Linear Collider that made precision measurements of electroweak interactions, including properties of the Z boson.
-
E.
SMF
SMF is the three-letter IATA airport code for Sacramento International Airport, the primary commercial airport serving California’s capital city.
- F. None of above. chosen
Provenance (5 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_69a4936ad1fc81908f190208059ccf78 |
completed | March 1, 2026, 7:28 p.m. |
| NER | Named-entity recognition | batch_69a4a733add08190bccd99cf9ec9096e |
completed | March 1, 2026, 8:53 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a66d9b8b308190b19378e797f499b1 |
completed | March 3, 2026, 5:11 a.m. |
| NEDg | Description generation | batch_69a66f2fb9a081908de794b20b6451b6 |
completed | March 3, 2026, 5:18 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69a66fcc9208819082e7fd20f991622c |
completed | March 3, 2026, 5:21 a.m. |
Created at: March 1, 2026, 7:37 p.m.