Triple

T4255070
Position Surface form Disambiguated ID Type / Status
Subject Pathankot E95953 entity
Predicate near P350 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: [Pathankot, near, Dharamshala]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Dharamshala
Context triple: [Pathankot, near, 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. 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.
  • D. Kasauli
    Kasauli is a small, picturesque hill station in the Indian state of Himachal Pradesh, known for its colonial-era architecture, pine forests, and tranquil atmosphere.
  • E. Gangtok
    Gangtok is the capital city of the Indian state of Sikkim, known for its Himalayan scenery, Buddhist monasteries, and role as a major cultural and tourism hub in the region.
  • 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_69b3453f759881909b91f01a1e82c036 completed March 12, 2026, 10:59 p.m.
NER Named-entity recognition batch_69b34ec036e8819087d8585170707545 completed March 12, 2026, 11:39 p.m.
NED1 Entity disambiguation (via context triple) batch_69b5c7151108819082b2f37945d6139e completed March 14, 2026, 8:37 p.m.
Created at: March 12, 2026, 11:06 p.m.