Triple

T2983872
Position Surface form Disambiguated ID Type / Status
Subject Chukchi Plateau E80574 entity
Predicate hasApproximateDepthRange P9310 FINISHED
Object 250 to 1000 meters below sea level 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: 250 to 1000 meters below sea level | Statement: [Chukchi Plateau, hasApproximateDepthRange, 250 to 1000 meters below sea level]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasApproximateDepthRange
Context triple: [Chukchi Plateau, hasApproximateDepthRange, 250 to 1000 meters below sea level]
  • A. hasApproximateDepth chosen
    Indicates that an entity is associated with a depth value that is not exact but estimated or approximate.
  • B. hasDepth
    Indicates that an entity possesses a measurable extent or distance from its surface inward or from top to bottom.
  • C. hasAverageDepth
    Indicates that an entity possesses a specified mean depth value, typically measured over its entire extent or area.
  • D. hasApproximateExtent
    Indicates that one entity has a spatial, temporal, or quantitative extent that is only roughly or approximately specified rather than exact.
  • E. hasApproximateDistanceScale
    Indicates that one entity is related to another by a distance measure that is approximate or estimated rather than exact.
  • 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_69ad8b15f6ac8190be5fd16a33edcb4f completed March 8, 2026, 2:43 p.m.
NER Named-entity recognition batch_69ad99c481fc81909971c96352a881b4 completed March 8, 2026, 3:46 p.m.
PD Predicate disambiguation batch_69ad9611fc348190a5d17d237f653f60 completed March 8, 2026, 3:30 p.m.
Created at: March 8, 2026, 2:59 p.m.