Triple
T16617405
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Littoral Region of Cameroon |
E403729
|
entity |
| Predicate | containsCity |
P294
|
FINISHED |
| Object | Edea |
E652898
|
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: Edea | Statement: [Littoral Region of Cameroon, containsCity, Edea]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Edea Context triple: [Littoral Region of Cameroon, containsCity, Edea]
-
A.
Edea
chosen
Edea is a town in Cameroon known as an industrial and transportation hub in the Littoral Region.
-
B.
Nepela
Nepela is a Slovak surname most notably associated with Ondrej Nepela, an Olympic and world champion figure skater.
-
C.
Gorjacheva
Gorjacheva is a transliterated Russian surname, typically borne by women and derived from the masculine form Goryachev.
-
D.
Larisa
Larisa is a feminine given name of Slavic origin, commonly used in Russia and other Eastern European countries.
-
E.
Larisa
Larisa was an ancient Greek city located in the region of Aeolis in western Asia Minor.
- 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_69d883897eb481909eaaa088ba9918d9 |
completed | April 10, 2026, 4:58 a.m. |
| NER | Named-entity recognition | batch_69e3754ac9dc8190965197024594742b |
completed | April 18, 2026, 12:12 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a007daef18481908c3628a3466300ce |
completed | May 10, 2026, 12:44 p.m. |
Created at: April 10, 2026, 5:17 a.m.