Triple

T6833471
Position Surface form Disambiguated ID Type / Status
Subject Bernoulli lemniscate E157392 entity
Predicate locusDescription P72976 FINISHED
Object set of points P such that the product of distances to two fixed points is constant 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: set of points P such that the product of distances to two fixed points is constant | Statement: [Bernoulli lemniscate, locusDescription, set of points P such that the product of distances to two fixed points is constant]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: locusDescription
Context triple: [Bernoulli lemniscate, locusDescription, set of points P such that the product of distances to two fixed points is constant]
  • A. locationDescription
    Indicates a textual description that specifies or characterizes the location of an entity.
  • B. speciesDescription
    Indicates a textual description that characterizes or explains the features, traits, or nature of a species.
  • C. chromosomalLocation
    Indicates the specific position or region on a chromosome where a genetic element (such as a gene or marker) is located.
  • D. placeDescribed
    Indicates that one entity provides a description or account of a particular place or location.
  • E. labelLocation
    Indicates that a label or identifier is associated with a specific spatial or geographic location.
  • F. None of above. chosen

Provenance (4 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_69c6882c53608190b99aebef079b23bd completed March 27, 2026, 1:37 p.m.
NER Named-entity recognition batch_69c6d62b1e8c8190a81d91191a54b073 completed March 27, 2026, 7:10 p.m.
PD Predicate disambiguation batch_69c6d09d95f0819091ca7f897dc21efe completed March 27, 2026, 6:46 p.m.
PDg Predicate description generation batch_69c6d11fab808190b18160ff3829fcc6 completed March 27, 2026, 6:49 p.m.
Created at: March 27, 2026, 2:18 p.m.