Triple

T12155174
Position Surface form Disambiguated ID Type / Status
Subject Berom E289554 entity
Predicate glottologName P6521 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: [Berom, glottologName, Berom]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Berom
Context triple: [Berom, glottologName, Berom]
  • A. Berom chosen
    Berom is a Plateau language spoken predominantly by the Berom people in and around Jos in central Nigeria.
  • B. Byrum
    Byrum is the main town and administrative center of the Danish island municipality of Læsø in the Kattegat.
  • C. Borotiam
    Borotiam is a village located on the atoll of Abaiang in the island nation of Kiribati in the central Pacific Ocean.
  • D. Rommen
    Rommen is a neighborhood in Oslo, Norway, situated within the Søndre Nordstrand borough.
  • E. Borama
    Borama is a city in northwestern Somalia’s Awdal region, known as a cultural and educational center for the Somali people.
  • 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_69d6ab4c6710819097a9d228382dde43 completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d915c1673c8190830cd15525d16869 completed April 10, 2026, 3:22 p.m.
NED1 Entity disambiguation (via context triple) batch_69f60a80aa6881908111cc47b5fe8b9e completed May 2, 2026, 2:30 p.m.
Created at: April 8, 2026, 9:50 p.m.