Triple

T3026888
Position Surface form Disambiguated ID Type / Status
Subject Atlas Maior E82795 entity
Predicate approximateNumberOfMaps P20367 FINISHED
Object about 600 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: about 600 | Statement: [Atlas Maior, approximateNumberOfMaps, about 600]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: approximateNumberOfMaps
Context triple: [Atlas Maior, approximateNumberOfMaps, about 600]
  • A. approximateCapacity
    Indicates that one entity has an estimated or rough capacity value relative to another or to a specified measure.
  • B. estimatedNumberOfBlocks
    Indicates the approximate count of discrete blocks associated with or involved in the given entity or context.
  • C. numberOfFragmentsApprox
    Indicates an approximate count of how many fragments or pieces are associated with the subject.
  • D. mapNumber
    Indicates a correspondence where each element in one set or collection is assigned a specific numeric value in another set or domain.
  • E. hasApproximateMemberCount chosen
    Indicates that an entity is associated with a group or collection for which only an estimated or non-exact number of members is known.
  • 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_69ad8b21a62881908ec5dd4fba4a187c completed March 8, 2026, 2:43 p.m.
NER Named-entity recognition batch_69ad9abd85348190aba9e40658697665 completed March 8, 2026, 3:50 p.m.
PD Predicate disambiguation batch_69ad961c430c8190ac48f2e3c7e7c649 completed March 8, 2026, 3:30 p.m.
Created at: March 8, 2026, 3 p.m.