Triple
T18366030
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Fang communities of Equatorial Guinea |
E440047
|
entity |
| Predicate | subgroup |
P10
|
FINISHED |
| Object | Meke |
—
|
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: Meke | Statement: [Fang communities of Equatorial Guinea, subgroup, Meke]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Meke Context triple: [Fang communities of Equatorial Guinea, subgroup, Meke]
-
A.
Mekè
chosen
Mekè is a regional dialect of the Fang language spoken by Fang communities in Central Africa.
-
B.
Maklak
Maklak is the self-designated name (autonym) used by the Modoc people to refer to themselves.
-
C.
Makeni
Makeni is a major city in northern Sierra Leone that serves as an important commercial and transportation hub for the region.
-
D.
Makato
Makato is a coastal municipality in the province of Aklan in the Western Visayas region of the Philippines.
-
E.
Makkena
Makkena is the surname of American actress Wendy Makkena, known for her roles in films such as "Sister Act" and various television series.
- 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_69d8b918221c8190a9f7b563d64ac677 |
completed | April 10, 2026, 8:47 a.m. |
| NER | Named-entity recognition | batch_69e5174e834481909453ba25561d1b1d |
completed | April 19, 2026, 5:56 p.m. |
Created at: April 10, 2026, 10:38 a.m.