Triple

T19428886
Position Surface form Disambiguated ID Type / Status
Subject Dashagriva E486056 entity
Predicate relatedName P3889 FINISHED
Object Dashanana 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: Dashanana | Statement: [Dashagriva, relatedName, Dashanana]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Dashanana
Context triple: [Dashagriva, relatedName, Dashanana]
  • A. Dashanana chosen
    Dashanana is an epithet of the demon-king Ravana from the Hindu epic Ramayana, highlighting his legendary form with ten heads and immense power.
  • B. Dagana
    Dagana is a historic town in the Senegal River valley that served as an important center in the former Futa Tooro region.
  • C. Dashilan
    Dashilan is a historic commercial street and traditional shopping district in central Beijing, known for its centuries-old shops, architecture, and cultural heritage.
  • D. Dromahane
    Dromahane is a village in County Cork, Ireland, situated near the town of Mallow in the north of the county.
  • E. Dinsho
    Dinsho is a small town in Ethiopia’s Bale Mountains region, known as a gateway to Bale Mountains National Park and a base for trekking and wildlife viewing.
  • 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_69d8e8d688f881909c85104a62e09d8a completed April 10, 2026, 12:11 p.m.
NER Named-entity recognition batch_69e6321b78d08190b86cef7c60cbb61c completed April 20, 2026, 2:03 p.m.
Created at: April 10, 2026, 1:37 p.m.