Triple

T4991928
Position Surface form Disambiguated ID Type / Status
Subject Ruaha National Park E112150 entity
Predicate nearestCity P350 FINISHED
Object Iringa E484249 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: Iringa | Statement: [Ruaha National Park, nearestCity, Iringa]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Iringa
Context triple: [Ruaha National Park, nearestCity, Iringa]
  • A. Kigoma
    Kigoma is a port city in western Tanzania located on the eastern shore of Lake Tanganyika and serving as a key regional transport and trade hub.
  • B. Iringa Region chosen
    Iringa Region is an administrative area in south-central Tanzania known for its highland landscapes and as the gateway to Ruaha National Park, one of the country’s largest wildlife reserves.
  • C. Nyazura
    Nyazura is a small town in eastern Zimbabwe situated along the main road and railway linking Harare and Mutare.
  • D. Mzuzu
    Mzuzu is a major city in northern Malawi known as an important commercial and administrative center for the region.
  • E. Rukwa Valley
    Rukwa Valley is a region in southwestern Tanzania known for its fertile lowlands, proximity to Lake Rukwa, and as a traditional homeland of several ethnic groups including the Fipa people.
  • 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_69bd441be7bc8190b530362d427b97d2 completed March 20, 2026, 12:57 p.m.
NER Named-entity recognition batch_69bd729bb45081908d85891a9d9f4b71 completed March 20, 2026, 4:15 p.m.
NED1 Entity disambiguation (via context triple) batch_69be92521bcc8190a1c485216f885778 completed March 21, 2026, 12:42 p.m.
Created at: March 20, 2026, 1:34 p.m.