Triple

T4476908
Position Surface form Disambiguated ID Type / Status
Subject Glocknerhaus E100030 entity
Predicate locatedIn P40 FINISHED
Object Carinthia E108550 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: Carinthia | Statement: [Glocknerhaus, locatedIn, Carinthia]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Carinthia
Context triple: [Glocknerhaus, locatedIn, Carinthia]
  • A. Carinthia chosen
    Carinthia is a mountainous federal state in southern Austria known for its Alpine landscapes, lakes, and outdoor tourism.
  • B. East Tyrol
    East Tyrol is a mountainous district in the Austrian state of Tyrol, known for its Alpine landscapes, hiking and skiing areas, and relatively sparse population.
  • C. Styria
    Styria is a federal state in southeastern Austria known for its capital Graz, diverse landscapes, and strong industrial and educational sectors.
  • D. Western Tyrol
    Western Tyrol is a mountainous region in western Austria known for its high Alpine peaks, including the Wildspitze, and popular ski and hiking areas.
  • E. Burgenland
    Burgenland is the easternmost and least populous state of Austria, known for its wine regions, flat landscapes, and proximity to Hungary.
  • 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_69b34553cbe48190afa8ac1cac285b86 completed March 12, 2026, 10:59 p.m.
NER Named-entity recognition batch_69b356d8600c8190a8b812889c50f144 completed March 13, 2026, 12:14 a.m.
NED1 Entity disambiguation (via context triple) batch_69bb80cd81d08190ad1d65091cecdfac completed March 19, 2026, 4:51 a.m.
Created at: March 12, 2026, 11:35 p.m.