Triple

T17474446
Position Surface form Disambiguated ID Type / Status
Subject Mount Bross E425500 entity
Predicate rangeHighPointRelation P127587 FINISHED
Object subsidiary to Mount Lincoln 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: subsidiary to Mount Lincoln | Statement: [Mount Bross, rangeHighPointRelation, subsidiary to Mount Lincoln]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: rangeHighPointRelation
Context triple: [Mount Bross, rangeHighPointRelation, subsidiary to Mount Lincoln]
  • A. isHighestRangeOf
    Indicates that one entity represents the maximum or topmost range or interval within which another entity falls or is categorized.
  • B. rangeOf
    Indicates that one entity specifies the set of possible values (range) that another entity’s outputs or properties can take.
  • C. range
    Indicates that a value, property, or effect extends between specified limits or over a specified interval or scope.
  • D. rangeRestrictedTo
    Indicates that the possible values or targets of a relation are constrained to lie within a specified set or type.
  • E. rangeRestricted
    Indicates that the relationship or action applies only within a specified, limited subset of a broader domain or scope.
  • F. None of above. chosen

Provenance (4 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_69d889dbc2e88190b18ea6115e819258 completed April 10, 2026, 5:25 a.m.
NER Named-entity recognition batch_69e451baa7b0819092035fec42305397 completed April 19, 2026, 3:53 a.m.
PD Predicate disambiguation batch_69e3b4f341c88190adabe526d8903b05 completed April 18, 2026, 4:44 p.m.
PDg Predicate description generation batch_69e3bbb37d148190b7f38599c06594ee completed April 18, 2026, 5:13 p.m.
Created at: April 10, 2026, 5:47 a.m.