Triple

T8713077
Position Surface form Disambiguated ID Type / Status
Subject Schneeferner E206826 entity
Predicate near P350 FINISHED
Object Austrian Tyrol E449881 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: Austrian Tyrol | Statement: [Schneeferner, near, Austrian Tyrol]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Austrian Tyrol
Context triple: [Schneeferner, near, Austrian Tyrol]
  • A. Tyrol chosen
    Tyrol is a mountainous federal state in western Austria, renowned for its Alpine landscapes, ski resorts, and hiking regions.
  • B. 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.
  • C. 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.
  • D. Tirole
    Tirole is the surname of Jean Tirole, a prominent French economist and Nobel laureate known for his work on industrial organization and regulation.
  • E. Ötztal
    Ötztal is a prominent alpine valley in western Austria known for its dramatic mountain scenery, ski resorts, and outdoor recreation opportunities.
  • 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_69ca83572d4881909bef3be2b578d539 completed March 30, 2026, 2:06 p.m.
NER Named-entity recognition batch_69cc5cd522a88190a32facd86206af66 completed March 31, 2026, 11:46 p.m.
NED1 Entity disambiguation (via context triple) batch_69cfa01f2894819090d70989c7afa464 completed April 3, 2026, 11:10 a.m.
Created at: March 30, 2026, 6:35 p.m.