Triple

T4180895
Position Surface form Disambiguated ID Type / Status
Subject Pune Junction E88190 entity
Predicate connectsTo P845 FINISHED
Object Solapur E149644 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: Solapur | Statement: [Pune Junction, connectsTo, Solapur]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Solapur
Context triple: [Pune Junction, connectsTo, Solapur]
  • A. Solapur chosen
    Solapur is a prominent city in southwestern Maharashtra, India, known for its textile industry, religious sites, and cultural significance to Marathi-speaking people.
  • B. Bhopal
    Bhopal is the capital city of the Indian state of Madhya Pradesh, known for its historic lakes, administrative importance, and the site of the 1984 industrial disaster.
  • C. Indore
    Indore is a major commercial and educational hub in central India, known for its vibrant markets, food culture, and rapidly growing urban infrastructure.
  • D. Nashik
    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.
  • E. Aurangabad
    Aurangabad is a historic city in the Indian state of Maharashtra, known for its rich cultural heritage and proximity to UNESCO World Heritage Sites like the Ajanta and Ellora Caves.
  • 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_69aed9477e8c81908bcb862d2db55b1d completed March 9, 2026, 2:29 p.m.
NER Named-entity recognition batch_69af0304702c8190899cbb0e3e41b987 completed March 9, 2026, 5:27 p.m.
NED1 Entity disambiguation (via context triple) batch_69b5a84713f88190a051b7d94b89d585 completed March 14, 2026, 6:26 p.m.
Created at: March 9, 2026, 3:45 p.m.