Triple
T19166414
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Anyako, Ghana |
E469194
|
entity |
| Predicate | locatedNear |
P294
|
FINISHED |
| Object | Anloga |
—
|
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: Anloga | Statement: [Anyako, Ghana, locatedNear, Anloga]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Anloga Context triple: [Anyako, Ghana, locatedNear, Anloga]
-
A.
Anloga
chosen
Anloga is a coastal town in southeastern Ghana that serves as the traditional and administrative center of the Anlo Ewe people in the Volta Region.
-
B.
Anozie
Anozie is the surname of British-Nigerian actor Nonso Anozie, known for his roles in film, television, and theatre.
-
C.
Anúna
Anúna is an Irish choral ensemble known for its ethereal vocal style and fusion of traditional Celtic music with contemporary choral arrangements.
-
D.
Agelo
Agelo is a small rural village in the Dutch province of Overijssel, known for its agricultural landscape and traditional countryside character.
-
E.
Anini
Anini is a remote town in the Dibang Valley district of Arunachal Pradesh in northeastern India, known for its rugged Himalayan terrain and proximity to the Dibang River.
- 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_69d8dd09d5a081909ae43c286651ae5a |
completed | April 10, 2026, 11:20 a.m. |
| NER | Named-entity recognition | batch_69e5f15ee064819087f9fd822236298f |
completed | April 20, 2026, 9:26 a.m. |
Created at: April 10, 2026, 12:06 p.m.