Triple
T7492885
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Regional Commissioner of Tabora |
E177049
|
entity |
| Predicate | seat |
P75
|
FINISHED |
| Object | Tabora (city) |
E180266
|
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: Tabora (city) | Statement: [Regional Commissioner of Tabora, seat, Tabora (city)]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tabora (city) Context triple: [Regional Commissioner of Tabora, seat, Tabora (city)]
-
A.
Tabora
chosen
Tabora is a historic town in western Tanzania known as a regional trade center and former hub of 19th-century caravan routes.
-
B.
Bosambo
Bosambo is a prominent fictional African chief featured in Edgar Wallace’s "Sanders of the River" stories, known for his cunning, charisma, and complex relationship with colonial authority.
-
C.
Zomba
Zomba is a historic city in southern Malawi that served as the country’s former capital and remains an important administrative and educational center.
-
D.
Tabora Region
Tabora Region is an inland administrative region in western Tanzania known historically as a key hub for trade and rail transport.
-
E.
Mbeya
Mbeya is a major city in southwestern Tanzania, serving as a commercial and transport hub near the Zambian border.
- 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_69c69f2583808190bd1a4936c42a5815 |
completed | March 27, 2026, 3:15 p.m. |
| NER | Named-entity recognition | batch_69c6f5784c908190b701959daf082625 |
completed | March 27, 2026, 9:24 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c856acc3208190985e10c285f41e02 |
completed | March 28, 2026, 10:31 p.m. |
Created at: March 27, 2026, 3:43 p.m.