Triple
T14010918
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sauce Viejo Airport |
E337075
|
entity |
| Predicate | IATAcode |
P418
|
FINISHED |
| Object |
SFN
SFN is the IATA airport code for Sauce Viejo Airport, which serves the city of Santa Fe in Argentina.
|
E1073924
|
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: SFN | Statement: [Sauce Viejo Airport, IATAcode, SFN]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: SFN Context triple: [Sauce Viejo Airport, IATAcode, SFN]
-
A.
SAFN
SAFN is a professional organization dedicated to advancing the anthropological study of food, nutrition, and related cultural practices.
-
B.
CFN
CFN is a U.S. Department of Energy user facility at Brookhaven National Laboratory dedicated to research and development in nanoscience and nanotechnology.
-
C.
SXF
SXF is the standard abbreviation used for the Sioux Falls Skyforce, a professional basketball team in the NBA G League.
-
D.
SF3
SF3 is a nonprofit organization dedicated to promoting, supporting, and organizing activities related to fantasy and science fiction, including conventions and fan events.
-
E.
BFN
BFN is the National Rail station code for Byfleet & New Haw railway station in Surrey, England.
- 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: SFN Triple: [Sauce Viejo Airport, IATAcode, SFN]
Generated description
SFN is the IATA airport code for Sauce Viejo Airport, which serves the city of Santa Fe in Argentina.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: SFN Target entity description: SFN is the IATA airport code for Sauce Viejo Airport, which serves the city of Santa Fe in Argentina.
-
A.
SAFN
SAFN is a professional organization dedicated to advancing the anthropological study of food, nutrition, and related cultural practices.
-
B.
CFN
CFN is a U.S. Department of Energy user facility at Brookhaven National Laboratory dedicated to research and development in nanoscience and nanotechnology.
-
C.
SXF
SXF is the standard abbreviation used for the Sioux Falls Skyforce, a professional basketball team in the NBA G League.
-
D.
SF3
SF3 is a nonprofit organization dedicated to promoting, supporting, and organizing activities related to fantasy and science fiction, including conventions and fan events.
-
E.
BFN
BFN is the National Rail station code for Byfleet & New Haw railway station in Surrey, England.
- 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_69d81c645c5c8190b1fd16a285a1b78a |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de2ed5cfd0819085b9c860b119a9de |
completed | April 14, 2026, 12:11 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fbaca7bbd88190a377d3b74f3d6224 |
completed | May 6, 2026, 9:03 p.m. |
| NEDg | Description generation | batch_69fbae6691b48190a0affc662cbb2d4e |
completed | May 6, 2026, 9:11 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69fbaf702c94819095347e2599ae9931 |
completed | May 6, 2026, 9:15 p.m. |
Created at: April 9, 2026, 10:19 p.m.