Triple

T15065476
Position Surface form Disambiguated ID Type / Status
Subject Rapid Metro (defunct) E379743 entity
Predicate servedPurpose P79 FINISHED
Object improving connectivity between Gurugram and Delhi 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: improving connectivity between Gurugram and Delhi | Statement: [Rapid Metro (defunct), servedPurpose, improving connectivity between Gurugram and Delhi]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: servedPurpose
Context triple: [Rapid Metro (defunct), servedPurpose, improving connectivity between Gurugram and Delhi]
  • A. servicePurpose
    Indicates that one entity serves as the purpose, goal, or intended function for which another entity (typically a service) exists or is provided.
  • B. purpose chosen
    Indicates that one entity exists, is done, or is used in order to achieve, support, or serve the goal, function, or intended outcome of another entity.
  • C. intendedToServe
    Indicates that one entity was designed, planned, or purposed specifically to benefit, assist, or fulfill the needs of another entity.
  • D. operationalPurpose
    Indicates the function, role, or intended use that an entity is designed or configured to perform in an operational context.
  • E. meetsForPurpose
    Indicates that one entity meets with another specifically to pursue or accomplish a particular purpose or objective.
  • 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_69d85cd7683881908d405c1b5d7b4f7f completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69dedeea750c819082d8823c9ab6c5a2 completed April 15, 2026, 12:42 a.m.
PD Predicate disambiguation batch_69deb95a182081908fffc4402b02a394 completed April 14, 2026, 10:02 p.m.
Created at: April 10, 2026, 3:02 a.m.