Triple
T18284601
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | São Filipe Airport |
E437949
|
entity |
| Predicate | hasIATAcode |
P2569
|
FINISHED |
| Object |
SFL
SFL is the IATA airport code for São Filipe Airport, which serves the town of São Filipe on Fogo Island in Cape Verde.
|
E1316174
|
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: SFL | Statement: [São Filipe Airport, hasIATAcode, SFL]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: SFL Context triple: [São Filipe Airport, hasIATAcode, SFL]
-
A.
SFL
SFL is the commonly used abbreviation for the Swiss Super League, the top tier of professional football in Switzerland.
-
B.
SFL
SFL is the commonly used abbreviation for the Scottish Football League, the former governing body for professional league football in Scotland.
-
C.
SFL
SFL is the National Rail station code for Seaforth and Litherland railway station in Merseyside, England.
-
D.
SLFL
SLFL is the commonly used abbreviation for the Scottish Lowland Football League, a senior football league in the fifth tier of the Scottish football pyramid.
-
E.
SLF
SLF is the Shuttle Landing Facility at NASA’s Kennedy Space Center, a specialized runway complex built for landing Space Shuttle orbiters and other aerospace vehicles.
- 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: SFL Triple: [São Filipe Airport, hasIATAcode, SFL]
Generated description
SFL is the IATA airport code for São Filipe Airport, which serves the town of São Filipe on Fogo Island in Cape Verde.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: SFL Target entity description: SFL is the IATA airport code for São Filipe Airport, which serves the town of São Filipe on Fogo Island in Cape Verde.
-
A.
SFL
SFL is the commonly used abbreviation for the Scottish Football League, the former governing body for professional league football in Scotland.
-
B.
SFL
SFL is the commonly used abbreviation for the Swiss Super League, the top tier of professional football in Switzerland.
-
C.
SFL
SFL is the National Rail station code for Seaforth and Litherland railway station in Merseyside, England.
-
D.
SLFL
SLFL is the commonly used abbreviation for the Scottish Lowland Football League, a senior football league in the fifth tier of the Scottish football pyramid.
-
E.
SLF
SLF is the Shuttle Landing Facility at NASA’s Kennedy Space Center, a specialized runway complex built for landing Space Shuttle orbiters and other aerospace vehicles.
- 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_69d8b914530c8190b4474d862a2b2a1b |
completed | April 10, 2026, 8:47 a.m. |
| NER | Named-entity recognition | batch_69e500f913d48190b41a1e37ca05e8b1 |
completed | April 19, 2026, 4:21 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a03b403ea748190956a3a78fdb4460b |
completed | May 12, 2026, 11:13 p.m. |
| NEDg | Description generation | batch_6a03b7dcdb94819097abd7d32c6b0447 |
completed | May 12, 2026, 11:29 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a03b885eb6c819080f3a8f1bbe8bab5 |
completed | May 12, 2026, 11:32 p.m. |
Created at: April 10, 2026, 10:35 a.m.