Triple

T75050
Position Surface form Disambiguated ID Type / Status
Subject Observer Corps E1500 entity
Predicate peakStrength P2981 FINISHED
Object tens of thousands of volunteers 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: tens of thousands of volunteers | Statement: [Observer Corps, peakStrength, tens of thousands of volunteers]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: peakStrength
Context triple: [Observer Corps, peakStrength, tens of thousands of volunteers]
  • A. strengthens
    Indicates that one entity increases the power, effectiveness, or resilience of another.
  • B. estimatedStrength chosen
    Indicates that a value represents an approximate or inferred level, magnitude, or intensity of something rather than a precisely measured strength.
  • C. peakOutputRanking
    Indicates the relative position of an entity in an ordered list based on its maximum or peak output level.
  • D. weight
    Indicates a relationship where a numerical value quantifies how heavy an entity is, often used to measure or compare mass or load.
  • E. parentPeak
    Indicates that one peak is the higher or primary peak to which another, subordinate peak is topographically related.
  • 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_69a24c60d19c8190a1b6c105ca59ef5b completed Feb. 28, 2026, 2:01 a.m.
NER Named-entity recognition batch_69a25314bd6c81908d1cfd4b83f20049 completed Feb. 28, 2026, 2:29 a.m.
PD Predicate disambiguation batch_69a24eae77ec81909015906f31f2b62e completed Feb. 28, 2026, 2:10 a.m.
Created at: Feb. 28, 2026, 2:06 a.m.