Triple
T22047369
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ruvuma Region |
E544796
|
entity |
| Predicate | capital |
P234
|
FINISHED |
| Object | Songea |
—
|
NE NERFINISHED |
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: Songea | Statement: [Ruvuma Region, capital, Songea]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Songea Context triple: [Ruvuma Region, capital, Songea]
-
A.
Songea
chosen
Songea is a major town in southern Tanzania that serves as an important regional administrative and commercial center.
-
B.
Songak
Songak is the historical name of the Korean city now known as Kaesong, which was a prominent capital during the Goryeo dynasty.
-
C.
Tambolaka
Tambolaka is a town on the Indonesian island of Sumba that serves as an important local hub with an airport and access point for exploring the island.
-
D.
Sofifi
Sofifi is a small coastal town on Halmahera Island in eastern Indonesia that serves as the administrative center of North Maluku Province.
-
E.
Gbarnga
Gbarnga is a city in central Liberia that gained prominence as a stronghold and de facto capital for rebel forces during the First Liberian Civil War.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e11e32445c8190ab97089b48a130bb |
completed | April 16, 2026, 5:36 p.m. |
| NER | Named-entity recognition | batch_69f12830c674819080254d77ee02bc9f |
completed | April 28, 2026, 9:35 p.m. |
Created at: April 16, 2026, 8:26 p.m.