Triple

T2846570
Position Surface form Disambiguated ID Type / Status
Subject Ravi E62996 entity
Predicate nearCity P350 FINISHED
Object Chamba E89580 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: Chamba | Statement: [Ravi, nearCity, Chamba]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Chamba
Context triple: [Ravi, nearCity, Chamba]
  • A. Chamba chosen
    Chamba is a historic town in the Indian state of Himachal Pradesh, known for its ancient temples, hill landscapes, and rich cultural heritage in the Himalayan region.
  • B. Churulia
    Churulia is a village in the Paschim Bardhaman district of West Bengal, India, best known as the birthplace of the revolutionary poet Kazi Nazrul Islam.
  • C. Chetlat
    Chetlat is a small inhabited coral island in the Lakshadweep archipelago of India, known for its coconut cultivation, fishing, and surrounding lagoon.
  • D. Katchal
    Katchal is a dialect of the Nicobarese language spoken by the indigenous community on Katchal Island in India’s Nicobar Islands.
  • E. Dholka
    Dholka is a historic town in the Ahmedabad district of Gujarat, India, known for its ancient architecture and role as a regional trading center.
  • 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_69ab4c407c408190857d25e027155ce9 completed March 6, 2026, 9:50 p.m.
NER Named-entity recognition batch_69abdf3ebbac819090e2bf98ed9fbd02 completed March 7, 2026, 8:18 a.m.
NED1 Entity disambiguation (via context triple) batch_69b01d7c84e8819098089bd1c6874189 completed March 10, 2026, 1:32 p.m.
Created at: March 6, 2026, 10:02 p.m.