Triple

T1070028
Position Surface form Disambiguated ID Type / Status
Subject Shantivan, New Delhi E23303 entity
Predicate hasEntryFee P3997 FINISHED
Object no LITERAL 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: no | Statement: [Shantivan, New Delhi, hasEntryFee, no]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasEntryFee
Context triple: [Shantivan, New Delhi, hasEntryFee, no]
  • A. admissionFee chosen
    Indicates the monetary charge required for entry or participation in a place, event, or activity.
  • B. hasCharge
    Indicates that an entity possesses a specific electrical or formal charge, such as positive, negative, or neutral.
  • C. hasTicketRequirement
    Indicates that an entity is subject to a specific ticket or admission requirement in order for access, participation, or use to be allowed.
  • D. hasTicketing
    Indicates that an entity provides or is associated with a system or mechanism for issuing, managing, or selling tickets.
  • E. isFreeToAttend
    Indicates that attending the event or activity does not require any payment or admission fee.
  • F. None of above.

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_69a493ee1f908190992b5f0d1b04459b completed March 1, 2026, 7:30 p.m.
NER Named-entity recognition batch_69a4b914b4908190886d6698294c6b5b completed March 1, 2026, 10:09 p.m.
PD Predicate disambiguation batch_69a4b73844708190a16c9e9824ca2fb6 completed March 1, 2026, 10:01 p.m.
Created at: March 1, 2026, 7:42 p.m.