Triple

T1839154
Position Surface form Disambiguated ID Type / Status
Subject Chiemsee E41133 entity
Predicate hasIsland P970 FINISHED
Object Herreninsel E211452 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: Herreninsel | Statement: [Chiemsee, hasIsland, Herreninsel]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Herreninsel
Context triple: [Chiemsee, hasIsland, Herreninsel]
  • A. Herreninsel chosen
    Herreninsel is the largest island in Bavaria’s Chiemsee, best known for housing King Ludwig II’s unfinished Herrenchiemsee Palace modeled after Versailles.
  • B. Fraueninsel
    Fraueninsel is a small, inhabited island in Bavaria’s Chiemsee lake, known for its historic Benedictine convent and picturesque village atmosphere.
  • C. Stoltenhoff Island
    Stoltenhoff Island is a small, uninhabited rocky islet in the South Atlantic Ocean that forms part of the remote Tristan da Cunha archipelago.
  • D. Fredriksen Island
    Fredriksen Island is a small, remote island in the South Orkney Islands archipelago of the Southern Ocean, known for its harsh polar climate and largely ice-covered terrain.
  • E. Rote Insel
    Rote Insel is a distinctive, historically working-class neighborhood in Berlin known for its island-like layout encircled by railway lines and its rich social and cultural history.
  • 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_69a88647f9388190909bc36e795bdaec completed March 4, 2026, 7:21 p.m.
NER Named-entity recognition batch_69abb03b3eb08190ae68d8476fc89c7f completed March 7, 2026, 4:57 a.m.
NED1 Entity disambiguation (via context triple) batch_69adfba141fc819084cf5903eced2326 completed March 8, 2026, 10:43 p.m.
Created at: March 4, 2026, 7:33 p.m.