Triple

T21342214
Position Surface form Disambiguated ID Type / Status
Subject Rinkai Line E526222 entity
Predicate runsUnderground P15152 FINISHED
Object true 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: true | Statement: [Rinkai Line, runsUnderground, true]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: runsUnderground
Context triple: [Rinkai Line, runsUnderground, true]
  • A. operatedUnderground
    Indicates that an entity conducted its activities or operations beneath the surface of the ground, rather than at or above ground level.
  • B. isUndergroundOnly
    Indicates that something exists, operates, or is accessible exclusively below ground level and not above ground.
  • C. operatedUndergroundRailway
    Indicates that an entity managed or ran an underground railway system as an operator or controlling organization.
  • D. hasUndergroundSection chosen
    Indicates that an entity includes a portion or segment that is located below ground level.
  • E. hasUndergroundConnections
    Indicates that one entity is linked to another through subterranean or hidden passageways, networks, or channels.
  • 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_69e0b51c33048190ab27cede74ef798c completed April 16, 2026, 10:08 a.m.
NER Named-entity recognition batch_69e8a84fa8088190afda63af7f4ce586 completed April 22, 2026, 10:51 a.m.
PD Predicate disambiguation batch_69e6161feea4819091d13bb003363279 completed April 20, 2026, 12:03 p.m.
Created at: April 16, 2026, 4:44 p.m.