Triple

T1091239
Position Surface form Disambiguated ID Type / Status
Subject Star Mountain E24166 entity
Predicate prominenceInMeters P10298 FINISHED
Object 4922 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: 4922 | Statement: [Star Mountain, prominenceInMeters, 4922]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: prominenceInMeters
Context triple: [Star Mountain, prominenceInMeters, 4922]
  • A. topographicProminence chosen
    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.
  • B. prominence
    Indicates that an entity stands out in importance, visibility, or influence relative to others within a given context.
  • C. notablePeak
    Indicates that one entity is a peak or summit that is especially prominent, famous, or significant in relation to another entity.
  • D. highestPoint
    Indicates that one entity is the point with the greatest elevation or height relative to another entity or defined area.
  • E. summitElevation
    Indicates the elevation or height of a summit above a reference level, typically sea level.
  • 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_69a49404428c819092dcc9632f5f7b8b completed March 1, 2026, 7:31 p.m.
NER Named-entity recognition batch_69a4b980c8448190b08c3a9a7e7f4e85 completed March 1, 2026, 10:11 p.m.
PD Predicate disambiguation batch_69a4b741b0cc8190be001a16a81f6d9e completed March 1, 2026, 10:01 p.m.
Created at: March 1, 2026, 7:42 p.m.