Triple

T21526964
Position Surface form Disambiguated ID Type / Status
Subject Shivaji Park Gymkhana E531121 entity
Predicate locatedIn P40 FINISHED
Object Shivaji Park NE NERFINISHED

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: Shivaji Park | Statement: [Shivaji Park Gymkhana, locatedIn, Shivaji Park]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Shivaji Park
Context triple: [Shivaji Park Gymkhana, locatedIn, Shivaji Park]
  • A. Shivaji Park chosen
    Shivaji Park is a large and historically significant public ground in Mumbai, India, known as a hub for political gatherings, social activities, and cricket training.
  • B. Shivaji Park
    Shivaji Park is a residential and commercial neighborhood in West Delhi, India, known for its urban amenities and proximity to major city hubs.
  • C. Nehru Park
    Nehru Park is a large, popular public park in New Delhi known for its lush greenery, cultural events, and recreational spaces.
  • D. Indira Gandhi Park
    Indira Gandhi Park is a public recreational park in Itanagar, Arunachal Pradesh, named in honor of former Indian Prime Minister Indira Gandhi.
  • E. Sanjeevaiah Park
    Sanjeevaiah Park is a popular lakeside urban park in Hyderabad, India, known for its expansive green spaces, gardens, and recreational areas along the shores of Hussain Sagar.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e0c45d95a081908e7962ad215da746 completed April 16, 2026, 11:13 a.m.
NER Named-entity recognition batch_69ee88515874819085e251c0d297a587 completed April 26, 2026, 9:49 p.m.
Created at: April 16, 2026, 6:26 p.m.