Triple
T17338191
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Amílcar Cabral International Airport |
E420995
|
entity |
| Predicate | IATAcode |
P418
|
FINISHED |
| Object | SID |
E675989
|
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: SID | Statement: [Amílcar Cabral International Airport, IATAcode, SID]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: SID Context triple: [Amílcar Cabral International Airport, IATAcode, SID]
-
A.
SID
chosen
SID is the IATA airport code for Amílcar Cabral International Airport, the main airport on Sal Island in Cape Verde.
-
B.
SID
SID is the three-letter National Rail station code assigned to Sidcup railway station in southeast London, England.
-
C.
IDS
IDS is the Institut für Deutsche Sprache, a leading German research institute specializing in the study and documentation of the German language.
-
D.
IDS
IDS is an international scientific organization that coordinates and provides precise geodetic and geophysical data and products derived from the DORIS satellite tracking system.
-
E.
Si
Si is one of the mischievous Siamese cats from Disney’s animated film "Lady and the Tramp," known for causing trouble with her twin, Am.
- 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_69d889d3adc881909319f1edb8d2a956 |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e43a13dd44819091d296c764976dfe |
completed | April 19, 2026, 2:12 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a018c56c8148190ab6e3e2eff09725e |
completed | May 11, 2026, 7:59 a.m. |
Created at: April 10, 2026, 5:43 a.m.