Triple

T4180899
Position Surface form Disambiguated ID Type / Status
Subject Pune Junction E88190 entity
Predicate connectsTo P845 FINISHED
Object Lonavala E91226 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: Lonavala | Statement: [Pune Junction, connectsTo, Lonavala]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lonavala
Context triple: [Pune Junction, connectsTo, Lonavala]
  • A. Lonavala chosen
    Lonavala is a popular hill station in Maharashtra, India, known for its lush green valleys, waterfalls, and scenic views along the Mumbai–Pune route.
  • B. Lohegaon
    Lohegaon is a suburban area of Pune, India, known for its residential neighborhoods and proximity to key transport and defense installations.
  • C. Khandala
    Khandala is a popular hill station in Maharashtra, India, known for its scenic valleys, waterfalls, and trekking spots in the Western Ghats.
  • D. Virajpet
    Virajpet is a town in the Kodagu (Coorg) district of Karnataka, India, known as a gateway to the scenic Brahmagiri Hills and surrounding Western Ghats.
  • E. Ratnagiri
    Ratnagiri is a coastal city in Maharashtra, India, known for its Alphonso mangoes, historic forts, and scenic beaches along the Konkan coast.
  • 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_69b589f89f4481909f95d3ca915bac18 completed March 14, 2026, 4:16 p.m.
Created at: March 9, 2026, 3:45 p.m.