Triple

T8375290
Position Surface form Disambiguated ID Type / Status
Subject Sanjay Suri E197561 entity
Predicate notableWork P4 FINISHED
Object Pinjar E522496 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: Pinjar | Statement: [Sanjay Suri, notableWork, Pinjar]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Pinjar
Context triple: [Sanjay Suri, notableWork, Pinjar]
  • A. Pinjar chosen
    Pinjar is a landmark Punjabi novel that poignantly portrays the human cost of the Partition of India, especially through the suffering and resilience of women.
  • B. Pinara
    Pinara was an important ancient Lycian city in southwestern Anatolia, known for its rock-cut tombs and well-preserved ruins.
  • C. Pira-Yine
    Pira-Yine is an indigenous language of the Arawakan family spoken by the Yine people in the Amazonian region of Peru.
  • D. Shungopavi
    Shungopavi is a traditional Hopi village in northeastern Arizona known for its deep cultural significance and long-standing Indigenous heritage.
  • E. Upangas
    Upangas are a group of secondary Jain scriptures that elaborate and supplement the teachings found in the primary Agamas.
  • 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_69ca82f56730819080cec5d991c76f4c completed March 30, 2026, 2:04 p.m.
NER Named-entity recognition batch_69cb80bf6b8081909b98762b1f900bef completed March 31, 2026, 8:07 a.m.
NED1 Entity disambiguation (via context triple) batch_69cde7e7e7ac819084e82a98c4c1249e completed April 2, 2026, 3:52 a.m.
Created at: March 30, 2026, 6:01 p.m.