Triple
T7415323
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Fon |
E171113
|
entity |
| Predicate | name |
P16
|
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: [Fon, name, Fon]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Fon Context triple: [Fon, name, 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.
Funka
Funka is a small village in northern Poland known for its scenic lakeside setting and recreational access to Lake Charzykowskie.
-
C.
FUNO
FUNO is the stock ticker symbol for Fibra Uno, one of Mexico’s largest real estate investment trusts (REITs) focused on commercial properties.
-
D.
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.
-
E.
Fonni
Fonni is a mountain town in central Sardinia, Italy, known as one of the island’s highest and coldest settlements and a base for exploring the Gennargentu massif.
- 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_69c68a618bdc81908d8018edadecd1a4 |
completed | March 27, 2026, 1:47 p.m. |
| NER | Named-entity recognition | batch_69c6f2c643248190a387abba2f482b25 |
completed | March 27, 2026, 9:12 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c81ee1b48c81909912ff0d7bf2837e |
completed | March 28, 2026, 6:33 p.m. |
Created at: March 27, 2026, 3:11 p.m.