Triple

T4289468
Position Surface form Disambiguated ID Type / Status
Subject Gash-Barka E97352 entity
Predicate bordersRegion P224 FINISHED
Object Debub E90066 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: Debub | Statement: [Gash-Barka, bordersRegion, Debub]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Debub
Context triple: [Gash-Barka, bordersRegion, Debub]
  • A. Debub chosen
    Debub is a southern administrative region of Eritrea known for its highland landscapes, agriculture, and historical sites.
  • B. DEB
    DEB is the abbreviation for the Deutscher Eishockey-Bund, the governing body for ice hockey in Germany.
  • C. Durbuk
    Durbuk is a remote village and administrative region in Ladakh, India, situated along key routes near the Line of Actual Control and known for its high-altitude terrain and strategic location.
  • D. The Debacle
    The Debacle is the English title of Émile Zola’s historical novel depicting the Franco-Prussian War and the fall of the Second French Empire.
  • E. Dustheads
    Dustheads is a vibrant 1982 neo-expressionist painting by Jean-Michel Basquiat, celebrated for its frenetic energy, bold colors, and depiction of figures associated with New York’s downtown street culture.
  • 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_69b3454595848190a0e6bbb6a2bea040 completed March 12, 2026, 10:59 p.m.
NER Named-entity recognition batch_69b35061f5448190b3356b29a9129160 completed March 12, 2026, 11:46 p.m.
NED1 Entity disambiguation (via context triple) batch_69b5c7307e3481909dfb55018f359589 completed March 14, 2026, 8:38 p.m.
Created at: March 12, 2026, 11:08 p.m.