Triple

T13976064
Position Surface form Disambiguated ID Type / Status
Subject Lakkar Bazaar E336189 entity
Predicate partOf P40 FINISHED
Object Shimla city center E66843 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: Shimla city center | Statement: [Lakkar Bazaar, partOf, Shimla city center]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Shimla city center
Context triple: [Lakkar Bazaar, partOf, Shimla city center]
  • A. Shimla chosen
    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.
  • B. Shimla Old Bus Stand
    Shimla Old Bus Stand is a central bus terminal in Shimla, Himachal Pradesh, serving as a key hub for local and intercity road transport in the hill station.
  • C. Dharamshala
    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.
  • 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. Paharganj
    Paharganj is a densely populated, budget-friendly neighborhood in central Delhi known for its bustling markets, cheap hotels, and popularity among backpackers.
  • 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_69d81c639e808190a0e4b4f3d31c6a59 completed April 9, 2026, 9:38 p.m.
NER Named-entity recognition batch_69de2e90dc148190b38e339aac0de484 completed April 14, 2026, 12:09 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd6d756bb48190ae5598e48b281f71 completed May 8, 2026, 4:58 a.m.
Created at: April 9, 2026, 10:18 p.m.