Triple

T7123474
Position Surface form Disambiguated ID Type / Status
Subject Presidency of Fort St. George E166000 entity
Predicate introducedInfrastructure P513 FINISHED
Object railways in parts of South India 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: railways in parts of South India | Statement: [Presidency of Fort St. George, introducedInfrastructure, railways in parts of South India]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: introducedInfrastructure
Context triple: [Presidency of Fort St. George, introducedInfrastructure, railways in parts of South India]
  • A. introduced chosen
    Indicates that one entity caused another entity to become known, presented, or brought into use for the first time to a person, group, or context.
  • B. foundedInfrastructure
    Indicates that an entity established or created a particular piece of infrastructure, such as a facility, system, or network.
  • C. isPartOfInfrastructure
    Indicates that something belongs to, is included within, or functions as a component of a larger infrastructure system.
  • D. infrastructureLevel
    Indicates the degree or quality of infrastructure present or provided in relation to an entity or location.
  • E. parallelInfrastructure
    Indicates that two or more infrastructure elements are arranged or operate in parallel to each other, typically serving similar functions simultaneously.
  • 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_69c6888350588190870cd552b427a1cd completed March 27, 2026, 1:39 p.m.
NER Named-entity recognition batch_69c6e64ab1f881908bc2468cc72d2544 completed March 27, 2026, 8:19 p.m.
PD Predicate disambiguation batch_69c6e1c7289881909f3b533c384f9ed4 completed March 27, 2026, 8 p.m.
Created at: March 27, 2026, 2:44 p.m.