Triple

T19587401
Position Surface form Disambiguated ID Type / Status
Subject Yerevan Metro E470137 entity
Predicate hasPlannedExtension P54844 FINISHED
Object additional lines and stations in Yerevan 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: additional lines and stations in Yerevan | Statement: [Yerevan Metro, hasPlannedExtension, additional lines and stations in Yerevan]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasPlannedExtension
Context triple: [Yerevan Metro, hasPlannedExtension, additional lines and stations in Yerevan]
  • A. plannedExtensionTo chosen
    Indicates that one entity is intended or scheduled to be extended, expanded, or continued by another entity in the future.
  • B. plannedExtensionLength
    Indicates the intended or proposed length of an extension as specified in a plan or design.
  • C. plannedExtensionDirection
    Indicates the intended directional path or orientation along which something is planned to be extended in the future.
  • D. hasPlannedPart
    Indicates that one entity includes another entity as a component or segment within a planned or scheduled whole.
  • E. hasExpansion
    Indicates that one entity serves as a larger, extended, or elaborated form of another entity.
  • 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_69d8e510024481908415c0d616fa6186 completed April 10, 2026, 11:54 a.m.
NER Named-entity recognition batch_69e64052f61c81908bb49927d4246030 completed April 20, 2026, 3:03 p.m.
PD Predicate disambiguation batch_69e514dbdb988190b55931a8138c73e7 completed April 19, 2026, 5:46 p.m.
Created at: April 10, 2026, 1:43 p.m.