Triple
T2264130
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sioux Falls, South Dakota |
E50104
|
entity |
| Predicate | airportIATA |
P418
|
FINISHED |
| Object |
FSD
FSD is the IATA airport code for Sioux Falls Regional Airport, the primary commercial airport serving Sioux Falls, South Dakota.
|
E251840
|
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: FSD | Statement: [Sioux Falls, South Dakota, airportIATA, FSD]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: FSD Context triple: [Sioux Falls, South Dakota, airportIATA, FSD]
-
A.
FSA
FSA is the abbreviation for the former U.S. Federal Security Agency, a government body that once oversaw various federal social and public health programs.
-
B.
FSL
FSL was the stock ticker symbol for Freescale Semiconductor, a former American manufacturer of embedded processors and semiconductor solutions.
-
C.
FFS
FFS is the commonly used abbreviation for the Swiss Federal Railways, the national railway company of Switzerland.
-
D.
FRD
FRD is the station code for a railway station named after U.S. President Franklin D. Roosevelt.
-
E.
FS1
FS1 is a U.S. sports television network owned by Fox that broadcasts live sporting events, analysis, and sports-related programming.
- 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: FSD Triple: [Sioux Falls, South Dakota, airportIATA, FSD]
Generated description
FSD is the IATA airport code for Sioux Falls Regional Airport, the primary commercial airport serving Sioux Falls, South Dakota.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: FSD Target entity description: FSD is the IATA airport code for Sioux Falls Regional Airport, the primary commercial airport serving Sioux Falls, South Dakota.
-
A.
FSA
FSA is the abbreviation for the former U.S. Federal Security Agency, a government body that once oversaw various federal social and public health programs.
-
B.
FSL
FSL was the stock ticker symbol for Freescale Semiconductor, a former American manufacturer of embedded processors and semiconductor solutions.
-
C.
FFS
FFS is the commonly used abbreviation for the Swiss Federal Railways, the national railway company of Switzerland.
-
D.
FRD
FRD is the station code for a railway station named after U.S. President Franklin D. Roosevelt.
-
E.
FS1
FS1 is a U.S. sports television network owned by Fox that broadcasts live sporting events, analysis, and sports-related programming.
- 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_69a88b01e0048190ba96431b5f990ba9 |
completed | March 4, 2026, 7:41 p.m. |
| NER | Named-entity recognition | batch_69abc18d7fc08190851765683d1b8092 |
completed | March 7, 2026, 6:11 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ae71cfd3b08190988474aa0fa985fe |
completed | March 9, 2026, 7:08 a.m. |
| NEDg | Description generation | batch_69ae7688583c8190abb05be41103762a |
completed | March 9, 2026, 7:28 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69ae76ec3c0c8190bfb7d25b435c777f |
completed | March 9, 2026, 7:29 a.m. |
Created at: March 4, 2026, 7:48 p.m.