Triple

T25825675
Position Surface form Disambiguated ID Type / Status
Subject Habibganj railway station E650522 entity
Predicate modernizationStatus P165012 FINISHED
Object first station in India redeveloped under PPP model 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: first station in India redeveloped under PPP model | Statement: [Habibganj railway station, modernizationStatus, first station in India redeveloped under PPP model]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: modernizationStatus
Context triple: [Habibganj railway station, modernizationStatus, first station in India redeveloped under PPP model]
  • A. modernizationType
    Indicates the specific kind or category of modernization applied to an entity or system.
  • B. modernization
    Indicates a process by which something is updated, reformed, or transformed to align with contemporary standards, technologies, or practices.
  • C. modernizationPriority
    Indicates the relative importance or urgency assigned to updating, improving, or replacing something with more modern methods, technologies, or standards.
  • D. modernizationLocation
    Indicates the place or setting where a modernization process or upgrade occurs.
  • E. modernizationArea
    Indicates the domain or aspect in which a modernization effort or update is being applied.
  • F. None of above. chosen

Provenance (4 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_69e7ab37438081908f1ccf6284839520 completed April 21, 2026, 4:52 p.m.
NER Named-entity recognition batch_69f65705a3048190a3728b695ba2ae65 completed May 2, 2026, 7:56 p.m.
PD Predicate disambiguation batch_69f651a731508190bb0c8c2462eba224 completed May 2, 2026, 7:33 p.m.
PDg Predicate description generation batch_69f6562ef4e4819082ce6abd41b74dc5 completed May 2, 2026, 7:53 p.m.
Created at: April 22, 2026, 7:36 a.m.