Triple

T8847334
Position Surface form Disambiguated ID Type / Status
Subject Kalindi Kunj E210537 entity
Predicate near P350 FINISHED
Object Sarita Vihar E734701 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: Sarita Vihar | Statement: [Kalindi Kunj, near, Sarita Vihar]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sarita Vihar
Context triple: [Kalindi Kunj, near, Sarita Vihar]
  • A. Sarita Vihar chosen
    Sarita Vihar is a residential neighborhood in South Delhi, India, known for its planned layout, housing societies, and proximity to major roads and industrial areas.
  • B. Vasant Vihar
    Vasant Vihar is an upscale residential neighborhood in South Delhi known for its diplomatic enclaves, embassies, and affluent housing.
  • C. Kamla Nagar
    Kamla Nagar is a prominent residential and commercial neighborhood in North Delhi known for its bustling markets, student-centric culture, and proximity to the University of Delhi’s North Campus.
  • D. Vishal Enclave
    Vishal Enclave is a residential and commercial locality situated in the Rajouri Garden area of West Delhi, India.
  • E. Vasant Kunj
    Vasant Kunj is an upscale residential and commercial neighborhood in South Delhi, known for its affluent housing, shopping malls, and proximity to major educational and corporate institutions.
  • 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_69ca838967bc8190b46c3c80a2887ea4 completed March 30, 2026, 2:07 p.m.
NER Named-entity recognition batch_69cc60a9194c8190bdfefc55a8fb29a3 completed April 1, 2026, 12:02 a.m.
NED1 Entity disambiguation (via context triple) batch_69cfa07ad12c81908de0502706ad4019 completed April 3, 2026, 11:11 a.m.
Created at: March 30, 2026, 6:49 p.m.