Triple
T23449267
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Brong-Ahafo Region |
E567728
|
entity |
| Predicate | containsTown |
P847
|
FINISHED |
| Object | Wenchi |
—
|
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: Wenchi | Statement: [Brong-Ahafo Region, containsTown, Wenchi]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Wenchi Context triple: [Brong-Ahafo Region, containsTown, Wenchi]
-
A.
Wenchi
chosen
Wenchi is a town in the Bono Region of Ghana known as an important agricultural and historical center.
-
B.
Chingp'o
Chingp'o is an alternative name for the Jingpho language spoken by the Jingpo people in parts of Myanmar, China, and India.
-
C.
Mangshi
Mangshi is a county-level city in southwestern Yunnan, China, known as the political and economic center of the Dehong Dai and Jingpo Autonomous Prefecture.
-
D.
Buyei
The Buyei are an ethnic group primarily living in southwestern China, known for their Tai-related language, rice-farming traditions, and distinctive folk customs.
-
E.
Lechang
Lechang is a county-level city administered by Shaoguan in northern Guangdong Province, China, known for its mountainous terrain and role as a regional transport and commercial hub.
- 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_69e2458b4c888190b1d7998f9862a558 |
completed | April 17, 2026, 2:36 p.m. |
| NER | Named-entity recognition | batch_69f1a64c1ee081908ba3adf5ce80d6a5 |
completed | April 29, 2026, 6:33 a.m. |
Created at: April 17, 2026, 5:52 p.m.