Triple

T32003427
Position Surface form Disambiguated ID Type / Status
Subject Mumbai–Hyderabad line E817192 entity
Predicate connectsZones P197852 FINISHED
Object western railway region of 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: western railway region of India | Statement: [Mumbai–Hyderabad line, connectsZones, western railway region of India]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: connectsZones
Context triple: [Mumbai–Hyderabad line, connectsZones, western railway region of India]
  • A. connectsRegions
    Indicates a relationship where one entity links or joins two or more distinct regions, enabling passage, interaction, or continuity between them.
  • B. connectsArea
    Indicates that one area serves as a link or passage between two other areas, enabling movement or interaction between them.
  • C. connectsCentralAreaTo
    Indicates a relationship where one element serves as a link or pathway between a central area and another location or component.
  • D. connectsIslandSection
    Indicates a relationship where one entity serves as a link or passage that joins or bridges separate sections of an island.
  • E. connectsNeighborhoodsIn
    Indicates a relationship where something (such as a route, road, or service) links or provides direct access between two or more neighborhoods.
  • 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_69f348f8ce388190ae84376b1f348f12 completed April 30, 2026, 12:20 p.m.
NER Named-entity recognition batch_69feb342994081909481ec8ec5d44928 completed May 9, 2026, 4:08 a.m.
PD Predicate disambiguation batch_69feb046e4e48190b96649aa28529cc9 completed May 9, 2026, 3:55 a.m.
PDg Predicate description generation batch_69feb3419158819082f4666077535ca9 completed May 9, 2026, 4:08 a.m.
Created at: May 1, 2026, 12:14 a.m.