Triple

T16264473
Position Surface form Disambiguated ID Type / Status
Subject HPCA Stadium E394838 entity
Predicate locatedIn P40 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: [HPCA Stadium, locatedIn, Dharamshala]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Dharamshala
Context triple: [HPCA Stadium, locatedIn, 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_69d87f221d8081909b0b2063e7528ba2 completed April 10, 2026, 4:40 a.m.
NER Named-entity recognition batch_69e245c672248190a4261be4696d52c5 completed April 17, 2026, 2:37 p.m.
NED1 Entity disambiguation (via context triple) batch_6a0017b877088190893a1f012e5d2463 completed May 10, 2026, 5:29 a.m.
Created at: April 10, 2026, 5:05 a.m.