Triple

T4615451
Position Surface form Disambiguated ID Type / Status
Subject Secretariat Building E100856 entity
Predicate near P350 FINISHED
Object Sansad Marg E449929 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: Sansad Marg | Statement: [Secretariat Building, near, Sansad Marg]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sansad Marg
Context triple: [Secretariat Building, near, Sansad Marg]
  • A. Sansad Marg chosen
    Sansad Marg is a prominent road in New Delhi that runs near the Indian Parliament and hosts several important government and commercial buildings.
  • B. Rajiv Chowk
    Rajiv Chowk is a major commercial and transportation hub in central New Delhi, centered around Connaught Place and one of the busiest metro interchanges in the city.
  • C. Jawaharlal Nehru Road
    Jawaharlal Nehru Road is a major thoroughfare in central Kolkata, India, known for its historic landmarks, commercial activity, and cultural institutions.
  • D. Vijay Chowk
    Vijay Chowk is a prominent ceremonial square in New Delhi, India, located near the Rashtrapati Bhavan and used for major national events and parades.
  • E. Chandni Chowk
    Chandni Chowk is one of Old Delhi’s oldest and busiest markets, famous for its narrow lanes, historic eateries, jewelry and textile shops, and vibrant street life.
  • 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_69bd43cf363c819087fd5ab441b4a3f4 completed March 20, 2026, 12:55 p.m.
NER Named-entity recognition batch_69bd59c3d9ec8190a50ef03627dc351d completed March 20, 2026, 2:29 p.m.
NED1 Entity disambiguation (via context triple) batch_69be399de7248190ba4cde67ff4cbff4 completed March 21, 2026, 6:24 a.m.
Created at: March 20, 2026, 1:12 p.m.