Triple

T4646710
Position Surface form Disambiguated ID Type / Status
Subject Misal Pav E102188 entity
Predicate hasVariant P455 FINISHED
Object Nashik Misal E32761 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: Nashik Misal | Statement: [Misal Pav, hasVariant, Nashik Misal]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Nashik Misal
Context triple: [Misal Pav, hasVariant, Nashik Misal]
  • A. Nashik chosen
    Nashik is a historic city in the Indian state of Maharashtra, known for its religious significance in Hinduism and as a major center of wine production.
  • B. Kalyan
    Kalyan is a major railway junction and suburban city in the Mumbai Metropolitan Region, serving as a key transit hub for long-distance and local trains in Maharashtra, India.
  • C. Samyabadi
    Samyabadi is a revolutionary Bengali poem by Kazi Nazrul Islam that powerfully expresses themes of equality, rebellion, and social justice.
  • D. Solapur
    Solapur is a prominent city in southwestern Maharashtra, India, known for its textile industry, religious sites, and cultural significance to Marathi-speaking people.
  • E. Benipatti
    Benipatti is a town in the Madhubani district of the Indian state of Bihar, known for its rural setting and proximity to the region’s famed Mithila culture.
  • 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_69bd43d71a308190afea7280841b0de8 completed March 20, 2026, 12:55 p.m.
NER Named-entity recognition batch_69bd62fcb8508190a17c4437b3d226b2 completed March 20, 2026, 3:08 p.m.
NED1 Entity disambiguation (via context triple) batch_69bdfadfe8b4819088a5fb1565bbe94a completed March 21, 2026, 1:56 a.m.
Created at: March 20, 2026, 1:14 p.m.