Triple
T3329477
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kingdom of Dahomey |
E69998
|
entity |
| Predicate | primaryLanguage |
P238
|
FINISHED |
| Object | Fon |
E171113
|
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: Fon | Statement: [Kingdom of Dahomey, primaryLanguage, Fon]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Fon Context triple: [Kingdom of Dahomey, primaryLanguage, Fon]
-
A.
Fon
chosen
Fon is a major Gbe language of West Africa, primarily spoken by the Fon people in Benin and neighboring countries.
-
B.
Fonyód
Fonyód is a Hungarian resort town on the southern shore of Lake Balaton, known for its beaches, marinas, and panoramic views of the lake and surrounding hills.
-
C.
Fogn
Fogn is a small Norwegian island known for its agriculture and scenic coastal landscape.
-
D.
Funza
Funza is a municipality and town in the Bogotá metropolitan area of central Colombia, known for its agricultural activity and proximity to the capital.
-
E.
FNC
FNC is the IATA airport code for Cristiano Ronaldo Madeira International Airport, the main air gateway to Portugal’s Madeira Island.
- 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_69ad85a24f208190bcf83131bfed3521 |
completed | March 8, 2026, 2:20 p.m. |
| NER | Named-entity recognition | batch_69adb171ee0881908642504ab0ac8329 |
completed | March 8, 2026, 5:27 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b31a810e2c8190bfc206bdeb1ac5b8 |
completed | March 12, 2026, 7:56 p.m. |
Created at: March 8, 2026, 3:12 p.m.