Triple

T19637902
Position Surface form Disambiguated ID Type / Status
Subject Indrunag Temple E471449 entity
Predicate locatedNear P294 FINISHED
Object Dharamshala NE NERFINISHED

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: [Indrunag Temple, locatedNear, Dharamshala]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Dharamshala
Context triple: [Indrunag Temple, locatedNear, 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 (2 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_69d8e511f28481909f4bc3ea9191e54a completed April 10, 2026, 11:54 a.m.
NER Named-entity recognition batch_69e64107f3fc8190ace6ae67287d280c completed April 20, 2026, 3:06 p.m.
Created at: April 10, 2026, 1:44 p.m.