Triple
T10956862
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Arusha Region |
E258867
|
entity |
| Predicate | tourismHubCity |
P30296
|
FINISHED |
| Object | Arusha |
E45051
|
NE FINISHED |
How this triple was built (3 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: Arusha | Statement: [Arusha Region, tourismHubCity, Arusha]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Arusha Context triple: [Arusha Region, tourismHubCity, Arusha]
-
A.
Arusha, Tanzania
chosen
Arusha, Tanzania is a major city in northern Tanzania known as a diplomatic hub and gateway to popular safari destinations and Mount Kilimanjaro.
-
B.
Dodoma
Dodoma is the political and administrative capital city of Tanzania, located in the country’s central region.
-
C.
Likasi
Likasi is a mining city in the southeastern Democratic Republic of the Congo, known for its significant copper and cobalt production.
-
D.
Dar es Salaam
Dar es Salaam is a major coastal metropolis on the Indian Ocean and the principal economic and commercial hub of Tanzania.
-
E.
Arusha Region
Arusha Region is an administrative region in northern Tanzania known for its tourism hub city of Arusha and proximity to major national parks and Mount Kilimanjaro.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: tourismHubCity Context triple: [Arusha Region, tourismHubCity, Arusha]
-
A.
tourismRegion
Indicates that a place or area is designated or recognized as a tourism region associated with another geographic or administrative entity.
-
B.
hasTourismHub
chosen
Indicates that a place functions as a central location or focal point for tourism-related activities, services, or attractions for another place or region.
-
C.
tourismFrom
Indicates that tourists or visitor activity originates from one place and is directed toward another location.
-
D.
tourismFeature
Indicates that something serves as an attraction, amenity, or point of interest relevant to tourism or visitors.
-
E.
primaryTourismHub
Indicates that a location serves as the main center or focal point for tourism activities within a given area or region.
- F. None of above.
Provenance (4 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_69d6aa88500c819097d7032ca578e74f |
completed | April 8, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69d771260e9881909401a7a7466e1b8a |
completed | April 9, 2026, 9:28 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e3a94466bc8190b4d4db70083ab5a5 |
completed | April 18, 2026, 3:54 p.m. |
| PD | Predicate disambiguation | batch_69d72e874f48819096ffa878f90c7d5b |
completed | April 9, 2026, 4:43 a.m. |
Created at: April 8, 2026, 9:23 p.m.