Triple
T21996045
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Fernando de Noronha Airport |
E543208
|
entity |
| Predicate | IATAcode |
P418
|
FINISHED |
| Object | FEN |
—
|
NE NERFINISHED |
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: FEN | Statement: [Fernando de Noronha Airport, IATAcode, FEN]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: FEN Context triple: [Fernando de Noronha Airport, IATAcode, FEN]
-
A.
FEN
chosen
FEN is the IATA airport code for the main airport serving Brazil’s Fernando de Noronha Archipelago, a remote Atlantic island destination.
-
B.
Figuerismo
Figuerismo is a Costa Rican political ideology inspired by the leadership and reforms of José Figueres Ferrer, emphasizing social democracy, demilitarization, and strong public institutions.
-
C.
Fiez
Fiez is a small municipality in the canton of Vaud in western Switzerland, situated in the Jura-Nord vaudois district.
-
D.
FICS
FICS is the Firearms Instant Check System operated by the Oregon State Police to conduct background checks on firearm purchasers.
-
E.
FICS
FICS is the main secondary school in the Falkland Islands, providing education to local students in the capital, Stanley.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e11e2c814c8190837d072789000486 |
completed | April 16, 2026, 5:36 p.m. |
| NER | Named-entity recognition | batch_69f1276493bc81908567445e901bc3a7 |
completed | April 28, 2026, 9:32 p.m. |
Created at: April 16, 2026, 8:19 p.m.