Triple

T8992571
Position Surface form Disambiguated ID Type / Status
Subject National Assembly building, Omdurman E214824 entity
Predicate city P40 FINISHED
Object Omdurman E64455 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: Omdurman | Statement: [National Assembly building, Omdurman, city, Omdurman]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Omdurman
Context triple: [National Assembly building, Omdurman, city, Omdurman]
  • A. Omdurman chosen
    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.
  • B. Adigrat
    Adigrat is a major town in northern Ethiopia known as a commercial and administrative center near the Eritrean border.
  • C. 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.
  • 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. Safaga
    Safaga is a coastal town and port on Egypt’s Red Sea coast known for its diving sites, black sand beaches, and therapeutic tourism.
  • 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_69ca83a05c608190bdfdbdb25e994b39 completed March 30, 2026, 2:07 p.m.
NER Named-entity recognition batch_69cc6876583081909d936dc3c3152587 completed April 1, 2026, 12:36 a.m.
NED1 Entity disambiguation (via context triple) batch_69d02fb3a27081909bc8504c92d8942f completed April 3, 2026, 9:22 p.m.
Created at: March 30, 2026, 7:04 p.m.