Triple

T37604794
Position Surface form Disambiguated ID Type / Status
Subject Mjermen E935618 entity
Predicate hasShoreCountry P37897 FINISHED
Object Norway NE NERFINISHED

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: Norway | Statement: [Mjermen, hasShoreCountry, Norway]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasShoreCountry
Context triple: [Mjermen, hasShoreCountry, Norway]
  • A. hasShorelineCountry chosen
    Indicates that a country possesses a coastline or land boundary directly adjacent to a particular body of water or coastal region.
  • B. hasShoreOn
    Indicates that one geographic entity borders or is directly adjacent to the shore of another body of water.
  • C. hasShoreNear
    Indicates that one entity is located close enough to another entity’s shore or coastline to be considered nearby.
  • D. hasShoreFeature
    Indicates that a shore or coastline possesses a specific physical or environmental feature.
  • E. hasCountryCoast
    Indicates that a country possesses a coastline along a sea or ocean.
  • 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_69f76ed0a85481909254a8a89090c826 completed May 3, 2026, 3:50 p.m.
NER Named-entity recognition batch_69fcda3699948190adb57625bae08091 completed May 7, 2026, 6:30 p.m.
PD Predicate disambiguation batch_69fcd8fd16d08190b0aca6e19a632e99 completed May 7, 2026, 6:25 p.m.
Created at: May 3, 2026, 4:18 p.m.