Triple

T36599910
Position Surface form Disambiguated ID Type / Status
Subject Peyer’s patches E902888 entity
Predicate numberVariesBetween P13474 FINISHED
Object individuals 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: individuals | Statement: [Peyer’s patches, numberVariesBetween, individuals]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: numberVariesBetween
Context triple: [Peyer’s patches, numberVariesBetween, individuals]
  • A. numberVariedBetween
    Indicates that the numerical value associated with an entity changed across a specified range between two points or over a given period.
  • B. typicalRange chosen
    Indicates the usual or expected range of values, conditions, or states within which something normally occurs or applies.
  • C. latitudeRangeApproximate
    Indicates that the latitude of an entity falls within an approximate or loosely bounded range, rather than an exact or strictly defined interval.
  • D. rangeVariant
    Indicates that one entity is a variant or alternative form within the value range defined or covered by another entity.
  • E. rateVariesBy
    Indicates that the rate of something changes depending on a specified factor, condition, or category.
  • 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_69f76e66b7b88190848f7a3e1188915f completed May 3, 2026, 3:48 p.m.
NER Named-entity recognition batch_6a037c8e2c648190a65fc9c7872861af completed May 12, 2026, 7:16 p.m.
PD Predicate disambiguation batch_6a037a0bf4b88190bdcfae9a14b51f0a completed May 12, 2026, 7:05 p.m.
Created at: May 3, 2026, 4:11 p.m.