Triple

T582238
Position Surface form Disambiguated ID Type / Status
Subject Home Army E15082 entity
Predicate estimatedStrengthRange P2981 FINISHED
Object 200000–400000 members 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: 200000–400000 members | Statement: [Home Army, estimatedStrengthRange, 200000–400000 members]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: estimatedStrengthRange
Context triple: [Home Army, estimatedStrengthRange, 200000–400000 members]
  • A. estimatedStrength chosen
    Indicates that a value represents an approximate or inferred level, magnitude, or intensity of something rather than a precisely measured strength.
  • B. typicalRange
    Indicates the usual or expected range of values, conditions, or states within which something normally occurs or applies.
  • C. strengthensFrom
    Indicates that one entity becomes stronger, more effective, or more intense as a result of influence, support, or input from another entity.
  • D. collectionStrength
    Indicates the degree or intensity of association or cohesion among items within a collection.
  • E. typicalPegRange
    Indicates the usual or standard range of peg values within which something is normally maintained or expected to operate.
  • 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_69a4935783b8819082b77726ec10cc42 completed March 1, 2026, 7:28 p.m.
NER Named-entity recognition batch_69a49b85becc8190b4d98c00e5fa7c04 completed March 1, 2026, 8:03 p.m.
PD Predicate disambiguation batch_69a494c7f9008190bd8d05b4dc2a7c7f completed March 1, 2026, 7:34 p.m.
Created at: March 1, 2026, 7:33 p.m.