Triple

T18506525
Position Surface form Disambiguated ID Type / Status
Subject Net Promoter Score E452210 entity
Predicate resultRange P28992 FINISHED
Object -100 to +100 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: -100 to +100 | Statement: [Net Promoter Score, resultRange, -100 to +100]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: resultRange
Context triple: [Net Promoter Score, resultRange, -100 to +100]
  • A. rangeOf chosen
    Indicates that one entity specifies the set of possible values (range) that another entity’s outputs or properties can take.
  • B. testRange
    Indicates that a value, condition, or behavior is being evaluated to determine whether it falls within a specified range or interval.
  • C. range
    Indicates that a value, property, or effect extends between specified limits or over a specified interval or scope.
  • D. rangeVariant
    Indicates that one entity is a variant or alternative form within the value range defined or covered by another entity.
  • E. designedRange
    Indicates the intended or specified range within which something is designed to operate or be effective.
  • 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_69d8d386df84819092355ebb260d848e completed April 10, 2026, 10:40 a.m.
NER Named-entity recognition batch_69e5334266708190b59aca3a2218c095 completed April 19, 2026, 7:55 p.m.
PD Predicate disambiguation batch_69e469dbf5208190b6fc49e02a087f54 completed April 19, 2026, 5:36 a.m.
Created at: April 10, 2026, 11:36 a.m.