Triple

T21972565
Position Surface form Disambiguated ID Type / Status
Subject Daykundi E542625 entity
Predicate capital P234 FINISHED
Object Nili 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: Nili | Statement: [Daykundi, capital, Nili]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Nili
Context triple: [Daykundi, capital, Nili]
  • A. Nili chosen
    Nili is a small town in central Afghanistan that serves as the administrative and economic hub of Daykundi Province.
  • B. Nila
    Nila is a small volcanic island in Indonesia’s Banda Sea, known for its active volcano and remote location within the Inner Banda Arc.
  • C. Nila
    Nila is a major river in the Indian state of Kerala, culturally renowned for its historical significance and role in the region’s literature and traditions.
  • D. Nila
    Nila is a small settlement located in the Shortland Islands of the Solomon Islands in the South Pacific.
  • E. Nila
    Nila is a heroic figure in the Ramayana, renowned as one of the monkey warriors who played a key role in Rama’s battle against Ravana’s forces.
  • 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_69e0c48070988190909db97667b9a0ac completed April 16, 2026, 11:14 a.m.
NER Named-entity recognition batch_69f124857dcc8190ab474cd8ab9c130a completed April 28, 2026, 9:20 p.m.
Created at: April 16, 2026, 8:02 p.m.