Triple

T19597727
Position Surface form Disambiguated ID Type / Status
Subject Dashanami Sampradaya E470390 entity
Predicate hasMonasticTitle P114897 FINISHED
Object Sagara 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: Sagara | Statement: [Dashanami Sampradaya, hasMonasticTitle, Sagara]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sagara
Context triple: [Dashanami Sampradaya, hasMonasticTitle, Sagara]
  • A. Sagara chosen
    Sagara is a town in the Shivamogga district of Karnataka, India, known for its proximity to Jog Falls and the Western Ghats.
  • B. Ariake
    Ariake is a waterfront district in Tokyo known for its large exhibition centers, sports venues, and modern urban development on the artificial islands of Tokyo Bay.
  • C. Akashi
    Akashi was a Japanese warship that served in the Imperial Japanese Navy around the time of the Russo-Japanese War.
  • D. Akashi
    Akashi is a coastal city in western Japan known for its historic castle, views of the Akashi Kaikyō Strait, and its specialty dish akashiyaki.
  • E. Ōjin
    Ōjin is a semi-legendary early Japanese emperor traditionally regarded as the 15th ruler of Japan and later venerated as the Shinto war deity Hachiman.
  • 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_69d8e510024481908415c0d616fa6186 completed April 10, 2026, 11:54 a.m.
NER Named-entity recognition batch_69e6407c52c081908704d3a4dd6e853b completed April 20, 2026, 3:04 p.m.
Created at: April 10, 2026, 1:43 p.m.