Triple

T13649792
Position Surface form Disambiguated ID Type / Status
Subject Talgje E326698 entity
Predicate hasNearbyIsland P970 FINISHED
Object Fogn E326699 NE 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: Fogn | Statement: [Talgje, hasNearbyIsland, Fogn]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Fogn
Context triple: [Talgje, hasNearbyIsland, Fogn]
  • A. Fogn chosen
    Fogn is a small Norwegian island known for its agriculture and scenic coastal landscape.
  • B. Fager
    Fager is a surname most notably associated with American television producer and former CBS News chairman Jeff Fager.
  • C. Fogarasch
    Fogarasch is a historic Transylvanian town, today known as Făgăraș in central Romania, noted for its medieval fortress and role in the region’s Saxon and Romanian history.
  • D. Faydi
    Faydi is a village located within the Shekhan District in the Kurdistan Region of northern Iraq.
  • E. Foege
    Foege is the surname of William H. Foege, an American epidemiologist renowned for his pivotal role in the global eradication of smallpox.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

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_69d8076d8270819092afc2f0e9c359a8 completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69dbc608466c81908f6d2c9c92cc86aa completed April 12, 2026, 4:19 p.m.
NED1 Entity disambiguation (via context triple) batch_69f78afbf8948190ad38ea7529e52f16 completed May 3, 2026, 5:50 p.m.
Created at: April 9, 2026, 9:52 p.m.