Triple

T15335601
Position Surface form Disambiguated ID Type / Status
Subject Dakahlia Governorate E366655 entity
Predicate hasCity P316 FINISHED
Object Dekernes E665927 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: Dekernes | Statement: [Dakahlia Governorate, hasCity, Dekernes]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Dekernes
Context triple: [Dakahlia Governorate, hasCity, Dekernes]
  • A. Dekernes chosen
    Dekernes is a town in Egypt’s Nile Delta region that serves as one of the principal urban centers of Dakahlia Governorate.
  • B. Danneels
    Danneels is a Belgian surname most notably associated with Cardinal Godfried Danneels, a prominent Roman Catholic prelate and former Archbishop of Mechelen-Brussels.
  • C. Helleren
    Helleren is a small historic settlement in Norway known for its traditional houses built under a large rock overhang near the Jøssingfjord.
  • D. Krusen
    Krusen is the surname of Dave Krusen, the original drummer for the American rock band Pearl Jam.
  • E. Kerevat
    Kerevat is a significant inland town in East New Britain Province of Papua New Guinea, known for its agricultural research station and surrounding cocoa and coconut plantations.
  • 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_69d85a1355608190a6673ddb67231d54 completed April 10, 2026, 2:01 a.m.
NER Named-entity recognition batch_69e03e03c5f081908e4d14dbdbc7f7a6 completed April 16, 2026, 1:40 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff01f11b88819089342e8b088bc95e completed May 9, 2026, 9:44 a.m.
Created at: April 10, 2026, 3:17 a.m.