Triple

T10576351
Position Surface form Disambiguated ID Type / Status
Subject Gaha Sattasai E249620 entity
Predicate hasTitle P38 FINISHED
Object Gaha Sattasai E872384 NE FINISHED

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: Gaha Sattasai | Statement: [Gaha Sattasai, hasTitle, Gaha Sattasai]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Gaha Sattasai
Context triple: [Gaha Sattasai, hasTitle, Gaha Sattasai]
  • A. Gāhā Sattasaī chosen
    Gāhā Sattasaī is an ancient Prakrit anthology of roughly seven hundred lyrical love poems, traditionally attributed to the Satavahana king Hāla and renowned as a classic of early Indian secular literature.
  • B. Mahasankatey Shonku
    Mahasankatey Shonku is a Bengali science fiction story by Satyajit Ray featuring the eccentric genius Professor Shonku facing a particularly perilous adventure.
  • C. Sama Gaun
    Sama Gaun is a remote Himalayan village in Nepal that serves as a key acclimatization and trekking stop on the Manaslu Circuit near Mount Manaslu.
  • D. Punya Thitimajshima
    Punya Thitimajshima was a telecommunications engineer best known for co-inventing turbo codes, a breakthrough in error-correcting coding theory.
  • E. Sakhigeeta
    Sakhigeeta is a celebrated collection of Kannada poems by the renowned poet D. R. Bendre, noted for its lyrical depth and philosophical insight.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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_69d381c8bd708190acf3d275c908251e completed April 6, 2026, 9:50 a.m.
NER Named-entity recognition batch_69d5275628988190bd00dd3f8d7c3937 completed April 7, 2026, 3:48 p.m.
NED1 Entity disambiguation (via context triple) batch_69d95e78ad6c81909eaa0cdc41c5cc82 completed April 10, 2026, 8:32 p.m.
Created at: April 6, 2026, 12:38 p.m.