Triple

T8639377
Position Surface form Disambiguated ID Type / Status
Subject Central Secretariat E204603 entity
Predicate nearbyLandmark P350 FINISHED
Object Vijay Chowk E163623 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: Vijay Chowk | Statement: [Central Secretariat, nearbyLandmark, Vijay Chowk]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Vijay Chowk
Context triple: [Central Secretariat, nearbyLandmark, Vijay Chowk]
  • A. Vijay Chowk chosen
    Vijay Chowk is a prominent ceremonial square in New Delhi, India, located near the Rashtrapati Bhavan and used for major national events and parades.
  • 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. Patel Chowk
    Patel Chowk is a central Delhi Metro station located near key government and commercial areas, serving as an important transit point in New Delhi.
  • D. Manek Chowk
    Manek Chowk is a historic, bustling public square and marketplace in the old city of Ahmedabad, India, known for its jewelry shops by day and vibrant street food scene by night.
  • 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_69ca834ca1c88190a11ffb0200342fac completed March 30, 2026, 2:06 p.m.
NER Named-entity recognition batch_69cc47650a14819094855aa8d062ebbc completed March 31, 2026, 10:15 p.m.
NED1 Entity disambiguation (via context triple) batch_69cef35ea7108190b164f9c3715be4f5 completed April 2, 2026, 10:53 p.m.
Created at: March 30, 2026, 6:28 p.m.