Triple

T23112603
Position Surface form Disambiguated ID Type / Status
Subject Northern State E576360 entity
Predicate containsCity P294 FINISHED
Object Merowe 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: Merowe | Statement: [Northern State, containsCity, Merowe]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Merowe
Context triple: [Northern State, containsCity, Merowe]
  • A. Merowe chosen
    Merowe is a town in northern Sudan situated along the Nile River, known for its proximity to the Fourth Cataract and nearby archaeological and dam sites.
  • B. Ain Sokhna
    Ain Sokhna is a popular Egyptian Red Sea resort town known for its beaches, proximity to Cairo, and role as a growing industrial and port area.
  • C. Wad-Ras
    Wad-Ras is a locality in northern Morocco known as the site where the 1860 Treaty ending the War of Tétouan was signed between Spain and Morocco.
  • D. Matrah
    Matrah is a historic coastal town in Oman that served as a key trading port and commercial hub during the height of Omani maritime power.
  • E. Misraba
    Misraba is a town in the Eastern Ghouta region near Damascus, Syria, known for its involvement and suffering during the Syrian civil war.
  • 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_69e245f4af548190898d434a64a1e774 completed April 17, 2026, 2:38 p.m.
NER Named-entity recognition batch_69f18e100d408190a7349563235640d5 completed April 29, 2026, 4:50 a.m.
Created at: April 17, 2026, 3:58 p.m.