Triple
T14998484
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hai District |
E374020
|
entity |
| Predicate | borderedBy |
P224
|
FINISHED |
| Object | Moshi 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 District | Statement: [Hai District, borderedBy, Moshi District]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Moshi District Context triple: [Hai District, borderedBy, Moshi District]
-
A.
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.
-
B.
Moshi
chosen
Moshi is a Tanzanian town in the Kilimanjaro Region that serves as a major gateway and base for climbers ascending Mount Kilimanjaro.
-
C.
Dodoma Region
Dodoma Region is an administrative region in central Tanzania that includes the national capital city, Dodoma.
-
D.
Ilemela District
Ilemela District is an administrative district and urban area within Tanzania’s Mwanza Region, encompassing part of the city of Mwanza along the shores of Lake Victoria.
-
E.
Ngora District
Ngora District is an administrative district in eastern Uganda, predominantly inhabited by the Iteso people and known for its agricultural economy.
- 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_69feae080ef88190a26c4f9b1675f9de |
completed | May 9, 2026, 3:46 a.m. |
Created at: April 10, 2026, 2:54 a.m.