Triple

T15619701
Position Surface form Disambiguated ID Type / Status
Subject Freising E375515 entity
Predicate twinnedWith P1072 FINISHED
Object Innichen E1149060 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: Innichen | Statement: [Freising, twinnedWith, Innichen]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Innichen
Context triple: [Freising, twinnedWith, Innichen]
  • A. Innichen chosen
    Innichen is a picturesque market town and ski resort in South Tyrol, northern Italy, known for its medieval architecture and Dolomite mountain scenery.
  • B. Ingessana
    The Ingessana are an indigenous ethnic group of the southeastern Sudanese highlands, known for their distinct language, agro-pastoral lifestyle, and history of resistance to external domination.
  • C. Tolochenaz
    Tolochenaz is a small municipality on the shores of Lake Geneva in the canton of Vaud, Switzerland, known for its quiet residential character and proximity to Lausanne.
  • D. Alagna
    Alagna is an Italian surname most prominently associated with French operatic tenor Roberto Alagna.
  • E. Aichach
    Aichach is a town in Bavaria, Germany, known in part for its prison where several Nazi war criminals, including Ilse Koch, were held and died.
  • 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_69d85ccf2794819096cda4cbcb02d478 completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69e04e997ce481909b2f10d25705fbc6 completed April 16, 2026, 2:51 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff5f3b643c819093230df6cfe440b9 completed May 9, 2026, 4:22 p.m.
Created at: April 10, 2026, 4:13 a.m.