Triple

T10726860
Position Surface form Disambiguated ID Type / Status
Subject Wukro E252970 entity
Predicate roadConnection P385 FINISHED
Object Adigrat E261013 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: Adigrat | Statement: [Wukro, roadConnection, Adigrat]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Adigrat
Context triple: [Wukro, roadConnection, Adigrat]
  • A. Adigrat chosen
    Adigrat is a major town in northern Ethiopia known as a commercial and administrative center near the Eritrean border.
  • B. Omdurman
    Omdurman is a major city in Sudan, historically significant as a cultural and commercial center and effectively forming part of the country’s greater capital area.
  • C. Dongola
    Dongola is a historic town in northern Sudan that served as a major political and cultural center of medieval Nubian kingdoms along the Nile.
  • D. Zintan
    Zintan is a town in western Libya known for its role in the Libyan Civil War and for being controlled by powerful local militias.
  • E. Sennar city
    Sennar city is an urban center in southeastern Sudan historically known as the capital of the Funj Sultanate and now an important town on the Blue Nile.
  • 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_69d6aa5d8be481909a43218b2bfdbe95 completed April 8, 2026, 7:19 p.m.
NER Named-entity recognition batch_69d70fc713f081909ba1d1b986c1fe5c completed April 9, 2026, 2:32 a.m.
NED1 Entity disambiguation (via context triple) batch_69de847e0ee48190a4c1470fc5296213 completed April 14, 2026, 6:16 p.m.
Created at: April 8, 2026, 9:14 p.m.