Triple

T1660211
Position Surface form Disambiguated ID Type / Status
Subject Marilyn E35887 entity
Predicate prominenceCriterion P28932 FINISHED
Object at least 150 metres regardless of absolute height 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: at least 150 metres regardless of absolute height | Statement: [Marilyn, prominenceCriterion, at least 150 metres regardless of absolute height]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: prominenceCriterion
Context triple: [Marilyn, prominenceCriterion, at least 150 metres regardless of absolute height]
  • A. prominence
    Indicates that an entity stands out in importance, visibility, or influence relative to others within a given context.
  • B. hasProminence
    Indicates that one entity stands out in importance, visibility, or influence relative to others within a given context.
  • C. hasMinimumProminence chosen
    Indicates that an entity meets or exceeds a specified threshold level of prominence or importance within a given context.
  • D. crestFeature
    Indicates that an entity possesses a notable crest-related characteristic or structural feature.
  • E. topographicProminence
    Indicates the height of a peak’s summit relative to the lowest contour line encircling it and no higher summit, expressing how much it stands out from surrounding terrain.
  • 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_69a88606aa808190aa0b421b4271f220 completed March 4, 2026, 7:20 p.m.
NER Named-entity recognition batch_69aa994f92b0819084ee2f6a672334b9 completed March 6, 2026, 9:07 a.m.
PD Predicate disambiguation batch_69a907d2475c8190b7ec7dccd3335eb1 completed March 5, 2026, 4:34 a.m.
Created at: March 4, 2026, 7:29 p.m.