Triple

T19660334
Position Surface form Disambiguated ID Type / Status
Subject Lubero Territory E472062 entity
Predicate containsSettlement P847 FINISHED
Object Lubero NE NERFINISHED

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: Lubero | Statement: [Lubero Territory, containsSettlement, Lubero]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lubero
Context triple: [Lubero Territory, containsSettlement, Lubero]
  • A. Lubero chosen
    Lubero is a town and administrative center located in the mountainous region of North Kivu in the eastern Democratic Republic of the Congo.
  • B. Lugbarati
    Lugbarati is an alternative name for the Lugbara language, a Central Sudanic language spoken primarily by the Lugbara people of northwestern Uganda and neighboring regions of the Democratic Republic of the Congo and South Sudan.
  • C. Lubaantun
    Lubaantun is a Late Classic Maya archaeological site in southern Belize, known for its distinctive drystone construction and stepped pyramids.
  • D. Lobata
    Lobata is an administrative district on the island of São Tomé in the central African island nation of São Tomé and Príncipe.
  • E. Luebo
    Luebo is a town in the Democratic Republic of the Congo known for being the focal point of a significant Ebola virus outbreak in 2007.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d8e51395348190ac1416d46dfc6db0 completed April 10, 2026, 11:54 a.m.
NER Named-entity recognition batch_69e6414993ac8190b6da3702b1924b24 completed April 20, 2026, 3:07 p.m.
Created at: April 10, 2026, 1:45 p.m.