Triple

T308027
Position Surface form Disambiguated ID Type / Status
Subject Drake equation E6344 entity
Predicate variableMeaning P8493 FINISHED
Object N = number of detectable civilizations in the Milky Way 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: N = number of detectable civilizations in the Milky Way | Statement: [Drake equation, variableMeaning, N = number of detectable civilizations in the Milky Way]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: variableMeaning
Context triple: [Drake equation, variableMeaning, N = number of detectable civilizations in the Milky Way]
  • A. meaningOfPhrase chosen
    Indicates that one entity expresses or defines the semantic content or interpretation of a given phrase.
  • B. sourceLanguageMeaning
    Indicates that one entity expresses the meaning or sense of another entity in a particular source language.
  • C. hasLiteralMeaning
    Indicates that one entity expresses the direct, explicit meaning or sense of another entity (such as a word, phrase, or symbol).
  • D. titleMeaning
    Indicates that one entity expresses or explains the meaning, significance, or interpretation of another entity’s title.
  • E. hasMean
    Indicates that one entity possesses, exhibits, or is characterized by a particular mean value or average.
  • 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_69a2e79230508190b912ecb555aae17e completed Feb. 28, 2026, 1:03 p.m.
NER Named-entity recognition batch_69a2ea3289608190a36c20a47761c6e4 completed Feb. 28, 2026, 1:14 p.m.
PD Predicate disambiguation batch_69a2e93f38308190b4b480c951f1a1c3 completed Feb. 28, 2026, 1:10 p.m.
Created at: Feb. 28, 2026, 1:06 p.m.