Triple
T16746626
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ho |
E406972
|
entity |
| Predicate | locatedIn |
P40
|
FINISHED |
| Object | Volta Region |
E133744
|
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: Volta Region | Statement: [Ho, locatedIn, Volta Region]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Volta Region Context triple: [Ho, locatedIn, Volta Region]
-
A.
Volta Region
chosen
The Volta Region is an eastern administrative region of Ghana known for its diverse Ewe culture, lush landscapes, and attractions such as Lake Volta and Wli Waterfalls.
-
B.
Geita Region
Geita Region is an administrative region in northwestern Tanzania, known for its significant gold mining activities and proximity to Lake Victoria.
-
C.
Jetisu Region
Jetisu Region is an administrative region in southeastern Kazakhstan known for its mountainous landscapes and historical role as part of the larger Almaty area.
-
D.
Kaniaga region
The Kaniaga region was a historic area in West Africa that served as the core territory and stronghold of the medieval Sosso state.
-
E.
Menabe region
Menabe region is a coastal administrative region in western Madagascar known for its dry forests, baobab trees, and diverse wildlife.
- 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_69d8838ffb088190a0b11149929006bf |
completed | April 10, 2026, 4:58 a.m. |
| NER | Named-entity recognition | batch_69e3aa2311748190a17416de577ad159 |
completed | April 18, 2026, 3:58 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a00a52033748190ae207d72d437236b |
completed | May 10, 2026, 3:32 p.m. |
Created at: April 10, 2026, 5:21 a.m.