Triple
T5088160
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tanganyika |
E114687
|
entity |
| Predicate | hasMajorCity |
P316
|
FINISHED |
| Object | Kalemie |
E179333
|
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: Kalemie | Statement: [Tanganyika, hasMajorCity, Kalemie]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kalemie Context triple: [Tanganyika, hasMajorCity, Kalemie]
-
A.
Kalemie
chosen
Kalemie is a port city in the Democratic Republic of the Congo on the western shore of Lake Tanganyika, serving as a regional transport and trade hub.
-
B.
Kalikula
Kalikula is a prominent tradition within Shaktism that centers on the worship of the fierce goddess Kali and related tantric practices.
-
C.
Kankia
Kankia is a town and local government area in northern Nigeria, known for its role as an administrative and commercial center within Katsina State.
-
D.
Korku
Korku is an indigenous tribal language of central India, primarily spoken by the Korku people in parts of Maharashtra and neighboring states.
-
E.
Kelmis
Kelmis is a municipality in eastern Belgium located in the country's German-speaking region, known for its historical zinc mining industry and borderland character near Germany and the Netherlands.
- 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_69bd443e941881908eb4e8c685b6f656 |
completed | March 20, 2026, 12:57 p.m. |
| NER | Named-entity recognition | batch_69bd75219a94819094fc54c1df448470 |
completed | March 20, 2026, 4:26 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69beba72a7b88190a118ff5f31079eff |
completed | March 21, 2026, 3:34 p.m. |
Created at: March 20, 2026, 1:40 p.m.