Triple

T8847333
Position Surface form Disambiguated ID Type / Status
Subject Kalindi Kunj E210537 entity
Predicate near P350 FINISHED
Object Jasola E736985 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: Jasola | Statement: [Kalindi Kunj, near, Jasola]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Jasola
Context triple: [Kalindi Kunj, near, Jasola]
  • A. Jasola chosen
    Jasola is a residential and commercial neighborhood in South Delhi, India, known for its mix of housing complexes, offices, and proximity to major roads and metro connectivity.
  • B. Ballabgarh
    Ballabgarh is a historic town and industrial hub in the Faridabad district of Haryana, India, known for its markets, temples, and manufacturing activity.
  • C. Karol Bagh
    Karol Bagh is a prominent commercial and residential neighborhood in Delhi, India, known for its bustling markets, shopping streets, and traditional eateries.
  • D. Uttam Nagar
    Uttam Nagar is a densely populated residential and commercial neighborhood in the western part of Delhi, known for its urban markets, metro connectivity, and proximity to Dwarka and Janakpuri.
  • E. Azadpur
    Azadpur is a locality in North Delhi, India, known for its major wholesale fruit and vegetable market and connectivity via the Delhi Metro.
  • 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_69cf89bd3ef48190a6a2efff18db4dbd completed April 3, 2026, 9:34 a.m.
Created at: March 30, 2026, 6:49 p.m.