Triple

T17983513
Position Surface form Disambiguated ID Type / Status
Subject Mount Twynam E430165 entity
Predicate rankingByElevationInMainlandAustralia P39147 FINISHED
Object third-highest mountain 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: third-highest mountain | Statement: [Mount Twynam, rankingByElevationInMainlandAustralia, third-highest mountain]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: rankingByElevationInMainlandAustralia
Context triple: [Mount Twynam, rankingByElevationInMainlandAustralia, third-highest mountain]
  • A. regionRankByHeight
    Indicates the relative ordering of regions based on their height or elevation.
  • B. highestElevationApprox
    Indicates that an entity has an approximate value for the maximum elevation reached within its spatial or conceptual extent.
  • C. summitElevationRank chosen
    Indicates the relative position of a summit in an ordered list based on its elevation compared to other summits.
  • D. eastSummitElevation
    Indicates the elevation of the summit located on the eastern side of a geographic feature or area.
  • E. countryRankByHeight
    Indicates the relative position of a country when countries are ordered by the height of something (e.g., average elevation, tallest point, or average citizen height).
  • 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_69d8b90364248190a37381adea932f42 completed April 10, 2026, 8:46 a.m.
NER Named-entity recognition batch_69e4b2992fe481908c0d2757b4de5bad completed April 19, 2026, 10:46 a.m.
PD Predicate disambiguation batch_69e3f8fa62688190a5d5c361ab896256 completed April 18, 2026, 9:34 p.m.
Created at: April 10, 2026, 10:23 a.m.