Triple

T23521382
Position Surface form Disambiguated ID Type / Status
Subject Dagbani E574515 entity
Predicate hasAlternativeName P39 FINISHED
Object Dagbanli 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: Dagbanli | Statement: [Dagbani, hasAlternativeName, Dagbanli]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Dagbanli
Context triple: [Dagbani, hasAlternativeName, Dagbanli]
  • A. Dagbanli chosen
    Dagbanli is a Gur language spoken primarily by the Dagomba people in northern Ghana.
  • B. Dagr
    Dagr is a figure from Norse mythology associated with the personification of day.
  • C. Porano
    Porano is a small Italian town in the Umbria region, known for its historic hilltop setting and traditional rural character.
  • D. Parjanya
    Parjanya is a Vedic rain and thunder god associated with fertility, storms, and the nourishing power of atmospheric waters.
  • E. Parjanya
    Parjanya is a figure in Hindu tradition known as the father of Nanda, the foster father of Lord Krishna.
  • 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_69e245bb3dcc8190ba9a2b35972b58d0 completed April 17, 2026, 2:37 p.m.
NER Named-entity recognition batch_69f1aa873ad48190a86807bd4f26df82 completed April 29, 2026, 6:51 a.m.
Created at: April 17, 2026, 6:08 p.m.