Triple

T16899931
Position Surface form Disambiguated ID Type / Status
Subject Dalhousie E424407 entity
Predicate hasNearbyTown P3883 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: [Dalhousie, hasNearbyTown, Chamba]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Chamba
Context triple: [Dalhousie, hasNearbyTown, Chamba]
  • A. Chamba
    The Chamba are an ethnic group in Central and West Africa, primarily found in Nigeria and Cameroon, known for their distinct language, cultural traditions, and historical kingdoms.
  • B. 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.
  • C. Chamkoria
    Chamkoria is the former name of Borovets, one of Bulgaria’s oldest and most popular mountain ski resorts.
  • D. Chitrali
    Chitrali is an alternative name for Khowar, an Indo-Aryan language spoken primarily in Pakistan’s Chitral region.
  • E. Ghangaria
    Ghangaria is a small Himalayan village in Uttarakhand, India, that serves as the base camp for pilgrims to Hemkunt Sahib and trekkers to the Valley of Flowers.
  • 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_69d889da3e8c8190a2b118f383f0beac completed April 10, 2026, 5:25 a.m.
NER Named-entity recognition batch_69e3c8dbc6e48190be90066b82fc61db completed April 18, 2026, 6:09 p.m.
NED1 Entity disambiguation (via context triple) batch_6a011b39d39481908f5d7aa21008fc63 completed May 10, 2026, 11:56 p.m.
Created at: April 10, 2026, 5:29 a.m.