Triple

T2417757
Position Surface form Disambiguated ID Type / Status
Subject Guatemala Basin E52345 entity
Predicate hasSeafloorFeature P37608 FINISHED
Object abyssal plain areas 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: abyssal plain areas | Statement: [Guatemala Basin, hasSeafloorFeature, abyssal plain areas]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasSeafloorFeature
Context triple: [Guatemala Basin, hasSeafloorFeature, abyssal plain areas]
  • A. seafloorType
    Indicates the classification of the ocean bottom surface based on its physical or geological characteristics.
  • B. hasSeamount
    Indicates that an entity possesses, contains, or is associated with a seamount (an underwater mountain).
  • C. hasBathymetricFeature chosen
    Indicates that one entity possesses, contains, or is associated with a specific underwater (seafloor) topographic feature.
  • D. hasOceanTrench
    Indicates that a body of water contains or is associated with a specific ocean trench within its area.
  • E. hasShoreFeature
    Indicates that a shore or coastline possesses a specific physical or environmental feature.
  • 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_69ab495622948190bc6bc6e4cddaf645 completed March 6, 2026, 9:38 p.m.
NER Named-entity recognition batch_69abc9f342e88190a430b02842ded418 completed March 7, 2026, 6:47 a.m.
PD Predicate disambiguation batch_69abc5a889948190b77de4ef6ac815a8 completed March 7, 2026, 6:28 a.m.
Created at: March 6, 2026, 9:42 p.m.