Triple
T14998443
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Moshi Rural District |
E374019
|
entity |
| Predicate | borders |
P224
|
FINISHED |
| Object | Moshi Urban District |
E76525
|
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: Moshi Urban District | Statement: [Moshi Rural District, borders, Moshi Urban District]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Moshi Urban District Context triple: [Moshi Rural District, borders, Moshi Urban District]
-
A.
Moshi
chosen
Moshi is a Tanzanian town in the Kilimanjaro Region that serves as a major gateway and base for climbers ascending Mount Kilimanjaro.
-
B.
Moshi District Council
Moshi District Council is the local government authority responsible for administering and providing public services in Moshi Rural District in Tanzania.
-
C.
Kilwa District
Kilwa District is an administrative district in Tanzania’s Lindi Region that includes the historic Swahili coastal settlement and UNESCO World Heritage Site of Kilwa Kisiwani.
-
D.
Tsavo town
Tsavo town is a small settlement in southeastern Kenya that serves as a gateway to the nearby Tsavo East and Tsavo West National Parks.
-
E.
Thika
Thika is a major industrial and commercial town in central Kenya, known for its manufacturing sector and proximity to Nairobi.
- 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_69d85ccc84388190aa151e5173370c8d |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69ded71a5618819083ae96a79735ef98 |
completed | April 15, 2026, 12:08 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fe9dcbd7c88190ad1a302cd0c6ef28 |
completed | May 9, 2026, 2:37 a.m. |
Created at: April 10, 2026, 2:54 a.m.