Triple

T10606063
Position Surface form Disambiguated ID Type / Status
Subject MMRDA Metro E275878 entity
Predicate projectObjective P64674 FINISHED
Object improve east–west connectivity in Mumbai 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: improve east–west connectivity in Mumbai | Statement: [MMRDA Metro, projectObjective, improve east–west connectivity in Mumbai]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: projectObjective
Context triple: [MMRDA Metro, projectObjective, improve east–west connectivity in Mumbai]
  • A. subjectOfProject
    Indicates that an entity serves as the main focus, topic, or target of a particular project.
  • B. aimOf chosen
    Indicates that one entity serves as the goal, purpose, or intended target of another entity’s action, plan, or existence.
  • C. engineeringGoal
    Indicates that an entity has a specific engineering-related objective, target, or desired outcome it is intended to achieve or support.
  • D. fundingObjective
    Indicates the purpose or goal for which financial resources are being sought, allocated, or used.
  • E. projectOutcome
    Indicates the resulting state, impact, or consequences produced by carrying out a project.
  • 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_69d6aaf948d88190806cc3a8c47a3fb2 completed April 8, 2026, 7:22 p.m.
NER Named-entity recognition batch_69d6df4a5df88190b993196ca7849a88 completed April 8, 2026, 11:05 p.m.
PD Predicate disambiguation batch_69d6dd72c1288190adbb5e79e94c044a completed April 8, 2026, 10:57 p.m.
Created at: April 8, 2026, 7:32 p.m.