Triple

T16685788
Position Surface form Disambiguated ID Type / Status
Subject Pimpri-Chinchwad E405457 entity
Predicate hasSuburb P747 FINISHED
Object Bhosari E1223192 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: Bhosari | Statement: [Pimpri-Chinchwad, hasSuburb, Bhosari]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bhosari
Context triple: [Pimpri-Chinchwad, hasSuburb, Bhosari]
  • A. Bhosari chosen
    Bhosari is a prominent industrial suburb in the Pune Metropolitan Region known for its manufacturing hubs and industrial estates.
  • B. Chembur
    Chembur is a prominent suburban neighborhood in eastern Mumbai known for its residential areas, connectivity, and growing commercial and industrial presence.
  • C. Belapur
    Belapur is a major suburban node in Navi Mumbai, India, known for its commercial centers, residential areas, and role as a key transport hub.
  • D. Dhanyawadi
    Dhanyawadi was an ancient city that served as one of the earliest and most important royal centers of the Arakan (Rakhine) region in present-day western Myanmar.
  • E. Vaibhavwadi
    Vaibhavwadi is a small town in Maharashtra’s Sindhudurg district, known for its scenic Konkan landscape and proximity to Kankavli.
  • 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_69d8838c28748190b3f5967c743940ab completed April 10, 2026, 4:58 a.m.
NER Named-entity recognition batch_69e37ea550c0819085bd36c44237a61a completed April 18, 2026, 12:52 p.m.
NED1 Entity disambiguation (via context triple) batch_6a009d32e7b48190b7dd4660bed4789d completed May 10, 2026, 2:58 p.m.
Created at: April 10, 2026, 5:19 a.m.