Triple

T21139409
Position Surface form Disambiguated ID Type / Status
Subject Brugmann's law E520890 entity
Predicate contrastsWith P278 FINISHED
Object Bartholomae's law NE NERFINISHED

How this triple was built (3 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: Bartholomae's law | Statement: [Brugmann's law, contrastsWith, Bartholomae's law]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bartholomae's law
Context triple: [Brugmann's law, contrastsWith, Bartholomae's law]
  • A. Szemerényi's law
    Szemerényi's law is a sound law in Proto-Indo-European linguistics that explains the loss of certain final consonants with compensatory lengthening of the preceding vowel.
  • B. Lusser's law
    Lusser's law is a reliability engineering principle that states the overall reliability of a system is the product of the reliabilities of its individual components, highlighting how system reliability decreases as more components are added in series.
  • C. Burke's Law
    Burke's Law is a 1960s American television detective series featuring Gene Barry as a wealthy, suave police captain who solves crimes with style and wit.
  • D. Aitken’s Law
    Aitken’s Law is a phonological rule in Scots and Scottish English that governs when vowels are pronounced long or short depending on their phonetic and morphological environment.
  • E. Stein's Law
    Stein's Law is an economic adage stating that if something cannot go on forever, it will stop, highlighting the inevitability of unsustainable trends ending.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Bartholomae's law
Target entity description: Bartholomae's law is a sound law in Indo-Iranian linguistics stating that an aspirated stop in a consonant cluster causes the entire cluster to become voiced and aspirated.
  • A. Szemerényi's law
    Szemerényi's law is a sound law in Proto-Indo-European linguistics that explains the loss of certain final consonants with compensatory lengthening of the preceding vowel.
  • B. Lusser's law
    Lusser's law is a reliability engineering principle that states the overall reliability of a system is the product of the reliabilities of its individual components, highlighting how system reliability decreases as more components are added in series.
  • C. Burke's Law
    Burke's Law is a 1960s American television detective series featuring Gene Barry as a wealthy, suave police captain who solves crimes with style and wit.
  • D. Aitken’s Law
    Aitken’s Law is a phonological rule in Scots and Scottish English that governs when vowels are pronounced long or short depending on their phonetic and morphological environment.
  • E. Stein's Law
    Stein's Law is an economic adage stating that if something cannot go on forever, it will stop, highlighting the inevitability of unsustainable trends ending.
  • F. None of above. chosen

Provenance (2 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_69e0b50b53048190ae34e8abbe3c5ada completed April 16, 2026, 10:08 a.m.
NER Named-entity recognition batch_69e7235e389881908813909e05d1413a completed April 21, 2026, 7:12 a.m.
Created at: April 16, 2026, 2:57 p.m.