Triple
T7794631
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nzega |
E180267
|
entity |
| Predicate | roadConnection |
P385
|
FINISHED |
| Object | Tabora |
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 | Statement: [Nzega, roadConnection, Tabora]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tabora Context triple: [Nzega, roadConnection, Tabora]
-
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.
Massinga
Massinga is a coastal town in southern Mozambique that serves as an important local center within Inhambane Province.
-
D.
Kasindi
Kasindi is a border town in eastern Democratic Republic of the Congo, located near Uganda and serving as an important regional trade and transport hub.
-
E.
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.
- 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_69ca827d22208190b4dc5aa680edcf5d |
completed | March 30, 2026, 2:02 p.m. |
| NER | Named-entity recognition | batch_69cae93b262c8190b55e5ab2bc72d894 |
completed | March 30, 2026, 9:20 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cb13ea96cc819081ac26db3ecf4481 |
completed | March 31, 2026, 12:23 a.m. |
Created at: March 30, 2026, 4:31 p.m.