Triple
T13809136
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bunia |
E331837
|
entity |
| Predicate | hasRoadConnectionTo |
P11435
|
FINISHED |
| Object | Mahagi |
E516362
|
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: Mahagi | Statement: [Bunia, hasRoadConnectionTo, Mahagi]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mahagi Context triple: [Bunia, hasRoadConnectionTo, Mahagi]
-
A.
Mahagi
chosen
Mahagi is a town in northeastern Democratic Republic of the Congo, located near the border with Uganda in Ituri Province.
-
B.
Maho
Maho is a town in Sri Lanka’s North Western Province known as a local commercial and transport hub in the Kurunegala District.
-
C.
Mahaba
Mahaba is a popular song by Tanzanian Bongo Flava artist Ali Kiba, known for its romantic theme and melodic style.
-
D.
Oghi
Oghi is a town in Pakistan's Khyber Pakhtunkhwa province, known as a local administrative and commercial center within the Hazara region.
-
E.
Harku
Harku is a small settlement in northern Estonia located within Harku Parish, near the capital city of Tallinn.
- 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_69d81c59f8808190a851bc56afdc55e9 |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de026eae8481908b8880635e6a9152 |
completed | April 14, 2026, 9:01 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f7b08fbc348190a199c5d92e0e46be |
completed | May 3, 2026, 8:31 p.m. |
Created at: April 9, 2026, 10:12 p.m.