Triple

T34543802
Position Surface form Disambiguated ID Type / Status
Subject Maps.me E886869 entity
Predicate usesMapRendering P188915 FINISHED
Object vector maps 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: vector maps | Statement: [Maps.me, usesMapRendering, vector maps]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: usesMapRendering
Context triple: [Maps.me, usesMapRendering, vector maps]
  • A. mapUse
    Indicates a relationship where one entity uses, applies, or employs a map (or mapping) to perform an action or achieve a purpose.
  • B. hasMaps
    Indicates that one entity possesses, includes, or provides access to one or more maps associated with another entity.
  • C. usesMapRectType
    Indicates that one entity employs or relies on a specific rectangular map representation or type in its operation or definition.
  • D. canMap
    Indicates that one entity is able to be mapped or transformed systematically into another entity or representation.
  • E. mapDisplay
    Indicates that something is being visually represented or shown on a map interface.
  • 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_69f349ce5eb881909e431c670944aa68 completed April 30, 2026, 12:23 p.m.
NER Named-entity recognition batch_69fbaf18085481908c774e8f8bbb9a41 completed May 6, 2026, 9:14 p.m.
PD Predicate disambiguation batch_69fbadf1e6008190a71bbd196ba06844 completed May 6, 2026, 9:09 p.m.
PDg Predicate description generation batch_69fbaebbb7f88190b4edfd9b83550aad completed May 6, 2026, 9:12 p.m.
Created at: May 1, 2026, 2:02 a.m.