Triple

T14558549
Position Surface form Disambiguated ID Type / Status
Subject Ropp dialect E341607 entity
Predicate languageFamily P1047 FINISHED
Object Berom E289554 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: Berom | Statement: [Ropp dialect, languageFamily, Berom]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Berom
Context triple: [Ropp dialect, languageFamily, Berom]
  • A. Berom chosen
    Berom is a Plateau language spoken predominantly by the Berom people in and around Jos in central Nigeria.
  • B. Berch
    Berch is the colloquial nickname for the Erlanger Bergkirchweih, a famous annual beer festival held in Erlangen, Germany.
  • C. Byrum
    Byrum is the main town and administrative center of the Danish island municipality of Læsø in the Kattegat.
  • D. Borotiam
    Borotiam is a village located on the atoll of Abaiang in the island nation of Kiribati in the central Pacific Ocean.
  • E. Rommen
    Rommen is a neighborhood in Oslo, Norway, situated within the Søndre Nordstrand borough.
  • 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_69d822db9c8481908213ceb39585f792 completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69deb3881b788190922932fb8ff81160 completed April 14, 2026, 9:37 p.m.
NED1 Entity disambiguation (via context triple) batch_69fde16830c0819090a97b073c8e642d completed May 8, 2026, 1:13 p.m.
Created at: April 10, 2026, 1:23 a.m.