Triple
T5568891
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Fernando de Noronha Archipelago |
E145946
|
entity |
| Predicate | IATAAirportCode |
P418
|
FINISHED |
| Object |
FEN
FEN is the IATA airport code for the main airport serving Brazil’s Fernando de Noronha Archipelago, a remote Atlantic island destination.
|
E534371
|
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: FEN | Statement: [Fernando de Noronha Archipelago, IATAAirportCode, FEN]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: FEN Context triple: [Fernando de Noronha Archipelago, IATAAirportCode, FEN]
-
A.
Fiez
Fiez is a small municipality in the canton of Vaud in western Switzerland, situated in the Jura-Nord vaudois district.
-
B.
FIF
FIF is the abbreviation for the Fife Flyers, a professional ice hockey team based in Kirkcaldy, Scotland.
-
C.
F.
F. is the standard legal citation abbreviation for the Federal Reporter series of case law published in the United States.
-
D.
Fritz
Fritz is the hunchbacked assistant to Dr. Frankenstein in the 1931 horror film "Frankenstein," known for helping to procure the monster’s body parts and brain.
-
E.
Fritz
Fritz London was a German-born theoretical physicist best known for his pioneering work on quantum mechanics and the theory of intermolecular forces, including London dispersion forces.
- 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: FEN Triple: [Fernando de Noronha Archipelago, IATAAirportCode, FEN]
Generated description
FEN is the IATA airport code for the main airport serving Brazil’s Fernando de Noronha Archipelago, a remote Atlantic island destination.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: FEN Target entity description: FEN is the IATA airport code for the main airport serving Brazil’s Fernando de Noronha Archipelago, a remote Atlantic island destination.
-
A.
Fiez
Fiez is a small municipality in the canton of Vaud in western Switzerland, situated in the Jura-Nord vaudois district.
-
B.
FIF
FIF is the abbreviation for the Fife Flyers, a professional ice hockey team based in Kirkcaldy, Scotland.
-
C.
F.
F. is the standard legal citation abbreviation for the Federal Reporter series of case law published in the United States.
-
D.
Fritz
Fritz is the hunchbacked assistant to Dr. Frankenstein in the 1931 horror film "Frankenstein," known for helping to procure the monster’s body parts and brain.
-
E.
Fritz
Fritz London was a German-born theoretical physicist best known for his pioneering work on quantum mechanics and the theory of intermolecular forces, including London dispersion forces.
- 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_69c008fdae24819081aa002ad99cd966 |
completed | March 22, 2026, 3:21 p.m. |
| NER | Named-entity recognition | batch_69c0203789688190a0bab723186214ad |
completed | March 22, 2026, 5 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c04d177d18819090018371d22c66a3 |
completed | March 22, 2026, 8:12 p.m. |
| NEDg | Description generation | batch_69c04e868cc48190bdb245ba52b9b938 |
completed | March 22, 2026, 8:18 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69c04f0de68c8190817b525f2d8ef327 |
completed | March 22, 2026, 8:20 p.m. |
Created at: March 22, 2026, 3:36 p.m.