Triple
T23246926
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | South Region (Cameroon) |
E581605
|
entity |
| Predicate | hasEthnicGroup |
P1898
|
FINISHED |
| Object | Fang |
—
|
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: Fang | Statement: [South Region (Cameroon), hasEthnicGroup, Fang]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Fang Context triple: [South Region (Cameroon), hasEthnicGroup, Fang]
-
A.
Fang
Fang is a mysterious, dark-winged member of the avian-human hybrid "flock" and Max's closest ally and love interest in James Patterson's Maximum Ride series.
-
B.
Fang
Fang is the mascot of the Saint John Sea Dogs, a major junior ice hockey team in the Quebec Maritimes Junior Hockey League.
-
C.
Fang
Fang is the surname of the eccentric performance-artist family at the center of Kevin Wilson’s novel and its film adaptation "The Family Fang."
-
D.
Fang
Fang is the costumed snake mascot who entertains fans at Wisconsin Timber Rattlers minor league baseball games.
-
E.
Fang
chosen
Fang is a Bantu language widely spoken by the Fang people of Central Africa, particularly in Equatorial Guinea, Gabon, and Cameroon.
- 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_69e24606b17c81908aba1a4911c8a8ba |
completed | April 17, 2026, 2:39 p.m. |
| NER | Named-entity recognition | batch_69f193f1e8448190b8420a8dc6e24576 |
completed | April 29, 2026, 5:15 a.m. |
Created at: April 17, 2026, 4:10 p.m.