Triple

T12660963
Position Surface form Disambiguated ID Type / Status
Subject Sokolniki station E302422 entity
Predicate depthBelowSurfaceInMetres P87151 FINISHED
Object 9 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: 9 | Statement: [Sokolniki station, depthBelowSurfaceInMetres, 9]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: depthBelowSurfaceInMetres
Context triple: [Sokolniki station, depthBelowSurfaceInMetres, 9]
  • A. depthBelowSurfaceInMeters chosen
    Indicates the vertical distance, measured in meters, that something is located below a reference surface level.
  • B. depthRelativeToSeabed
    Indicates the vertical distance of something measured relative to the seabed, typically how far above or below the seabed it is located.
  • C. seaDepth
    Indicates the measured vertical distance from the sea surface down to the seafloor at a given location.
  • D. maximumDepthBelowSeaLevel
    Indicates the greatest vertical distance an entity extends or reaches below sea level.
  • E. riverbedDepth
    Indicates the depth or vertical distance from the water surface to the bottom of a river at a given location or time.
  • 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_69d7bded71a88190bb76e2413af9ea66 completed April 9, 2026, 2:55 p.m.
NER Named-entity recognition batch_69d9617b07ec8190b714f04ae6654060 completed April 10, 2026, 8:45 p.m.
PD Predicate disambiguation batch_69d960b78ce8819091f15dd5013e6da5 completed April 10, 2026, 8:42 p.m.
Created at: April 9, 2026, 5:19 p.m.