Triple

T14005183
Position Surface form Disambiguated ID Type / Status
Subject Kangra Valley E336927 entity
Predicate hasTown P847 FINISHED
Object Dharamshala E73126 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: Dharamshala | Statement: [Kangra Valley, hasTown, Dharamshala]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Dharamshala
Context triple: [Kangra Valley, hasTown, Dharamshala]
  • A. Dharamshala chosen
    Dharamshala is a hill town in northern India known as the residence of the Dalai Lama and the headquarters of the Tibetan government-in-exile.
  • B. Shimla
    Shimla is a popular hill station and the capital city of Himachal Pradesh, known for its colonial-era architecture and scenic Himalayan surroundings in northern India.
  • C. Kirulapone
    Kirulapone is a residential and commercial suburb of Colombo, Sri Lanka, known for its mixed urban character and proximity to the city center.
  • D. Pantnagar
    Pantnagar is an industrial and educational hub in Uttarakhand, India, known for its large industrial estate and the Govind Ballabh Pant University of Agriculture and Technology.
  • E. Leh
    Leh is a historic town in the Indian union territory of Ladakh, known for its high-altitude Himalayan landscape, Buddhist monasteries, and role as a former trading hub on the Silk Route.
  • 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_69d81c645c5c8190b1fd16a285a1b78a completed April 9, 2026, 9:38 p.m.
NER Named-entity recognition batch_69de2ed1d2548190bb46d6b7cba4ffde completed April 14, 2026, 12:10 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd6474da3081909be6b892ef8cc73e completed May 8, 2026, 4:20 a.m.
Created at: April 9, 2026, 10:19 p.m.