Triple

T106461
Position Surface form Disambiguated ID Type / Status
Subject Union Pacific Railroad E2147 entity
Predicate networkCoverage P4903 FINISHED
Object western two-thirds of the United States 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 two-thirds of the United States | Statement: [Union Pacific Railroad, networkCoverage, western two-thirds of the United States]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: networkCoverage
Context triple: [Union Pacific Railroad, networkCoverage, western two-thirds of the United States]
  • A. mapCoverage
    Indicates the extent or area that is represented, covered, or included by a particular map.
  • B. networkType
    Indicates the category or kind of network associated with or used by an entity (e.g., wired, wireless, virtual, or specific protocol-based networks).
  • C. network
    Indicates that one entity is connected to or interacts with another through a system of relationships, communication, or information exchange.
  • D. hasLandCoverage
    Indicates that a specified area or region is covered or occupied by a particular type of land surface or land use.
  • E. hostRange
    Indicates the range or set of different hosts that an organism, agent, or system can successfully inhabit, infect, or interact with.
  • 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_69a24e0a5b7c81908d52da08c60dabc4 completed Feb. 28, 2026, 2:08 a.m.
NER Named-entity recognition batch_69a256ec650c8190bee2067e37065527 completed Feb. 28, 2026, 2:46 a.m.
PD Predicate disambiguation batch_69a2563d33788190999d471b486d5603 completed Feb. 28, 2026, 2:43 a.m.
PDg Predicate description generation batch_69a256ea776081908fec36c3fdfb8d84 completed Feb. 28, 2026, 2:46 a.m.
Created at: Feb. 28, 2026, 2:12 a.m.