Triple
T6975003
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Zambia Railways network |
E161694
|
entity |
| Predicate | connectsCity |
P4245
|
FINISHED |
| Object | Kabwe |
E397497
|
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: Kabwe | Statement: [Zambia Railways network, connectsCity, Kabwe]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kabwe Context triple: [Zambia Railways network, connectsCity, Kabwe]
-
A.
Kabwe, Zambia
chosen
Kabwe, Zambia is a central Zambian town historically known as a major mining and railway hub and as the birthplace of novelist Wilbur Smith.
-
B.
Goma
Goma is a city in eastern Democratic Republic of the Congo on the northern shore of Lake Kivu, known as a gateway to Virunga National Park and for its proximity to the active Nyiragongo volcano.
-
C.
Matadi
Matadi is a major port city in western Democratic Republic of the Congo, serving as the country’s principal seaport and a key gateway for trade between the Atlantic Ocean and the interior via the Congo River.
-
D.
Kumba
Kumba is a major town in southwestern Cameroon known as a commercial hub and cultural crossroads where languages like Cameroonian Pidgin English are widely used.
-
E.
Kumba
Kumba is a renowned steel roller coaster at Busch Gardens Tampa Bay, famous for its intense inversions and smooth, high-speed layout.
- 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_69c68854a0d88190bc0bf82263f1afce |
completed | March 27, 2026, 1:38 p.m. |
| NER | Named-entity recognition | batch_69c6db3bda908190a10a91dc8d043ef1 |
completed | March 27, 2026, 7:32 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c761a6bbdc81908c96871f151db279 |
completed | March 28, 2026, 5:05 a.m. |
Created at: March 27, 2026, 2:31 p.m.