Triple

T38033375
Position Surface form Disambiguated ID Type / Status
Subject Sweden–Finland border E948976 entity
Predicate meetsCountriesAt P189884 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: [Sweden–Finland border, meetsCountriesAt, Norway]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: meetsCountriesAt
Context triple: [Sweden–Finland border, meetsCountriesAt, Norway]
  • A. meetsInCountry
    Indicates that two or more entities have an in-person meeting that takes place within the specified country.
  • B. meetsInCountrySubdivision
    Indicates that two or more entities meet or have a meeting within a specific administrative subdivision of a country (such as a state, province, or region).
  • C. confluenceCountry
    Indicates the country within whose territory a given confluence (meeting point of geographic coordinates or rivers) is located.
  • D. LänderRepresentedIn
    Indicates that certain countries have official representation or presence within a specified entity or context.
  • E. meetsBetween
    Indicates that one entity meets or encounters another at some point between two specified reference points or times.
  • 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_69f76efd1bc48190a729097fe5177b61 completed May 3, 2026, 3:51 p.m.
NER Named-entity recognition batch_69fc44c7e73c819082d4fc1900fb9632 completed May 7, 2026, 7:52 a.m.
PD Predicate disambiguation batch_69fbc8efffbc8190a139798ad1880526 completed May 6, 2026, 11:04 p.m.
PDg Predicate description generation batch_69fc44c67118819088accfeded7b449e completed May 7, 2026, 7:52 a.m.
Created at: May 3, 2026, 4:20 p.m.