Triple
T14737672
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cuanza Norte Province |
E346255
|
entity |
| Predicate | hasSettlement |
P1068
|
FINISHED |
| Object | Ndalatando |
E1119935
|
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: Ndalatando | Statement: [Cuanza Norte Province, hasSettlement, Ndalatando]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ndalatando Context triple: [Cuanza Norte Province, hasSettlement, Ndalatando]
-
A.
Ndalatando
chosen
Ndalatando is a city in north-central Angola that serves as an important administrative and commercial center in the region.
-
B.
Nhamatanda
Nhamatanda is a town and district in central Mozambique known as an important transport and agricultural hub within Sofala Province.
-
C.
Tunduma
Tunduma is a border town in southern Tanzania that serves as a major road and rail gateway for trade and travel between Tanzania and Zambia.
-
D.
Dzundza
Dzundza is the surname of George Dzundza, a German-American actor known for roles in films like "Crimson Tide" and the early seasons of "Law & Order."
-
E.
Dushelele
Dushelele is a popular Bongo Flava song by Tanzanian singer Ali Kiba.
- 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_69d822e6f1c88190bc494d491a907114 |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69dec73264848190be23c5f0260cbe13 |
completed | April 14, 2026, 11:01 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fe388792688190b1b6eaa8091733fb |
completed | May 8, 2026, 7:24 p.m. |
Created at: April 10, 2026, 1:29 a.m.