Triple

T33006071
Position Surface form Disambiguated ID Type / Status
Subject Finnish coastal waters E844501 entity
Predicate landUpliftRate P166242 FINISHED
Object up to about 8 mm per year in the Kvarken area 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: up to about 8 mm per year in the Kvarken area | Statement: [Finnish coastal waters, landUpliftRate, up to about 8 mm per year in the Kvarken area]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: landUpliftRate
Context triple: [Finnish coastal waters, landUpliftRate, up to about 8 mm per year in the Kvarken area]
  • A. averageLandUpliftRate chosen
    Indicates the typical rate at which land surface elevation increases over time, usually due to geological or tectonic processes.
  • B. emergedAboveSeaLevel
    Indicates that something rose or became exposed above the surface of the sea from a previously submerged or lower position.
  • C. subductionRate
    Indicates the rate at which one tectonic plate moves beneath another into the mantle along a subduction zone.
  • D. erosionRate
    Indicates the rate at which material is worn away or removed from a surface over time due to erosive processes.
  • E. elevation
    Indicates the vertical height or altitude of one entity relative to a reference level or 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_69f3494e59f08190b9127c693e5c7e8f completed April 30, 2026, 12:21 p.m.
NER Named-entity recognition batch_69f6d74b20a48190900dda1014cc13a8 completed May 3, 2026, 5:04 a.m.
PD Predicate disambiguation batch_69f6d26f27dc8190ae426a3e1573933e completed May 3, 2026, 4:43 a.m.
Created at: May 1, 2026, 1:23 a.m.