Triple

T25402167
Position Surface form Disambiguated ID Type / Status
Subject Buffon’s needle problem E636452 entity
Predicate canEstimate P70307 FINISHED
Object π ≈ 2L·(number of drops) / (T·number of crossings) 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: π ≈ 2L·(number of drops) / (T·number of crossings) | Statement: [Buffon’s needle problem, canEstimate, π ≈ 2L·(number of drops) / (T·number of crossings)]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: canEstimate
Context triple: [Buffon’s needle problem, canEstimate, π ≈ 2L·(number of drops) / (T·number of crossings)]
  • A. areEstimatedIn
    Indicates that a value or quantity is approximated or inferred within a specified context, framework, or unit.
  • B. estimatedUsing chosen
    Indicates that one entity’s value, state, or outcome is derived by applying an estimation method, model, or procedure based on another entity.
  • C. approximateEstimation
    Indicates an estimation relationship where one value or assessment is only roughly or closely, but not exactly, equal to another.
  • D. estimatedCost
    Indicates the predicted or calculated monetary amount expected to be required for something, such as a project, item, or action.
  • E. canDetermine
    Indicates that one entity has the ability or authority to find out, establish, or decide the state, value, or outcome of another entity or situation.
  • 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_69e75db361d881908d8701c856da6413 completed April 21, 2026, 11:21 a.m.
NER Named-entity recognition batch_69f584fa51c481909a8f11b41f2b1d30 completed May 2, 2026, 5 a.m.
PD Predicate disambiguation batch_69f4683b34748190818428489a226124 completed May 1, 2026, 8:45 a.m.
Created at: April 21, 2026, 1:52 p.m.