Triple

T7574760
Position Surface form Disambiguated ID Type / Status
Subject Ufipa Plateau E179332 entity
Predicate administrativeCenterNearby P34698 FINISHED
Object Sumbawanga E673869 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: Sumbawanga | Statement: [Ufipa Plateau, administrativeCenterNearby, Sumbawanga]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sumbawanga
Context triple: [Ufipa Plateau, administrativeCenterNearby, Sumbawanga]
  • A. Sumbawanga chosen
    Sumbawanga is a town in western Tanzania that serves as the main urban and administrative center of the Fipa people and the surrounding Rukwa Region.
  • B. 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.
  • C. Nacala
    Nacala is a coastal city in northern Mozambique known for its deep-water natural harbor and role as a major regional port and transport hub.
  • D. Atambua
    Atambua is a town in East Nusa Tenggara, Indonesia, located near the border with Timor-Leste and serving as an important regional trade and transit center.
  • E. Bukoba
    Bukoba is a town on the western shore of Lake Victoria in northwestern Tanzania, serving as the capital of the Kagera Region and a local transport and trade hub.
  • 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_69c69f316e50819081a271c85c06f918 completed March 27, 2026, 3:16 p.m.
NER Named-entity recognition batch_69c6f94a25148190b5b76e000e0336c4 completed March 27, 2026, 9:40 p.m.
NED1 Entity disambiguation (via context triple) batch_69c861673ae48190b86e8023fd02771c completed March 28, 2026, 11:16 p.m.
Created at: March 27, 2026, 3:51 p.m.