Triple

T21456177
Position Surface form Disambiguated ID Type / Status
Subject Central Azerbaijan E529344 entity
Predicate hasCity P316 FINISHED
Object Barda 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: Barda | Statement: [Central Azerbaijan, hasCity, Barda]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Barda
Context triple: [Central Azerbaijan, hasCity, Barda]
  • A. Barda chosen
    Barda is a historic city that once served as a major political and cultural center in the region of Arran, in present-day Azerbaijan.
  • B. Bardaï
    Bardaï is a remote oasis town in northern Chad that serves as an important administrative and cultural center in the Tibesti region.
  • C. Barbareta
    Barbareta is a small, privately owned Caribbean island located in Honduras’s Bay Islands archipelago, known for its natural beauty and relative seclusion.
  • D. Tannis
    Tannis is a surname that can refer to various individuals, including those with the given name Camelia.
  • E. Satine Kryze
    Satine Kryze is the pacifist Duchess of Mandalore in the Star Wars universe, prominently known for her complex relationship with Jedi Knight Obi-Wan Kenobi during the Clone Wars era.
  • 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_69e0c458133481908ae8b41a12c4edec completed April 16, 2026, 11:13 a.m.
NER Named-entity recognition batch_69e9e9d6da3c819082a495f5434c5554 completed April 23, 2026, 9:43 a.m.
Created at: April 16, 2026, 6:08 p.m.