Triple

T32092251
Position Surface form Disambiguated ID Type / Status
Subject Romney sheep E819625 entity
Predicate lambingPercentage P87411 FINISHED
Object around 120–150% (approximate) 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: around 120–150% (approximate) | Statement: [Romney sheep, lambingPercentage, around 120–150% (approximate)]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: lambingPercentage
Context triple: [Romney sheep, lambingPercentage, around 120–150% (approximate)]
  • A. breedingRatio
    Indicates the proportional relationship between the number of breeding individuals and another reference group or total population in a given context.
  • B. annualMohairYieldPerHead
    Indicates the amount of mohair produced by each individual animal in one year.
  • C. typeOfLivestock
    Indicates the specific kind or category of livestock associated with or involved in a given context or entity.
  • D. calvingProduces
    Indicates that the biological process of calving results in or brings about a particular outcome, product, or entity.
  • E. numberOfOffspringPerBirth chosen
    Indicates the typical count of offspring produced in a single birth event for an entity.
  • 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_69f349004b2481908ce2e50af0d579a8 completed April 30, 2026, 12:20 p.m.
NER Named-entity recognition batch_69f6b63edd4c819093b664b38a69d7c8 completed May 3, 2026, 2:43 a.m.
PD Predicate disambiguation batch_69f6b3a7bdb481908d16a32f49e38c2c completed May 3, 2026, 2:32 a.m.
Created at: May 1, 2026, 12:25 a.m.