Triple

T24866763
Position Surface form Disambiguated ID Type / Status
Subject Spearman rank-order correlation coefficient E622306 entity
Predicate rangeEndpoint P9332 FINISHED
Object 0 indicates no monotonic association 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: 0 indicates no monotonic association | Statement: [Spearman rank-order correlation coefficient, rangeEndpoint, 0 indicates no monotonic association]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: rangeEndpoint
Context triple: [Spearman rank-order correlation coefficient, rangeEndpoint, 0 indicates no monotonic association]
  • A. rangeEnd chosen
    Indicates the endpoint or upper boundary value of a specified range in a relationship or measurement.
  • B. rangeDescription
    Indicates the span or interval of values, positions, or extents over which something applies or is valid.
  • C. rangeOf
    Indicates that one entity specifies the set of possible values (range) that another entity’s outputs or properties can take.
  • D. rangeVariant
    Indicates that one entity is a variant or alternative form within the value range defined or covered by another entity.
  • E. rangeExpansion
    Indicates an increase in the spatial or contextual extent over which something applies, operates, or is distributed.
  • 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_69e2fac350d08190b3affde1b451a8c5 completed April 18, 2026, 3:30 a.m.
NER Named-entity recognition batch_69f453035f508190be83a3d521723acf completed May 1, 2026, 7:15 a.m.
PD Predicate disambiguation batch_69f44d6ef33081908f5d36ba1ae5f473 completed May 1, 2026, 6:51 a.m.
Created at: April 18, 2026, 5:22 a.m.