Triple
T14852873
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | A3 |
E349273
|
entity |
| Predicate | terminus |
P388
|
FINISHED |
| Object | Chirundu |
E672891
|
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: Chirundu | Statement: [A3, terminus, Chirundu]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Chirundu Context triple: [A3, terminus, Chirundu]
-
A.
Chirundu
chosen
Chirundu is a border town in northern Zimbabwe situated on the Zambezi River, serving as a key crossing point between Zimbabwe and Zambia.
-
B.
Luchazi
Luchazi is a Bantu language spoken primarily by the Luchazi people in eastern Angola and neighboring regions.
-
C.
Mankwe
Mankwe is a locality in South Africa, historically part of the former Bophuthatswana homeland in the North West Province.
-
D.
Poruba
Poruba is a large residential and administrative district of the city of Ostrava in the Czech Republic, known for its distinctive socialist realist architecture and extensive green spaces.
-
E.
Mberengwa
Mberengwa is a rural district and growth point in Zimbabwe known for its mining activities and location in the southern part of the Midlands Province.
- 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_69d822ed7e1881909b90fca143ad7e34 |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69ded441e70881909bbf62b66d932aff |
completed | April 14, 2026, 11:56 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fe72a87dd88190b0f0c3b9b625a7e6 |
completed | May 8, 2026, 11:32 p.m. |
Created at: April 10, 2026, 1:54 a.m.