Triple

T4747708
Position Surface form Disambiguated ID Type / Status
Subject German-speaking Italy E105401 entity
Predicate historicalRegion P915 FINISHED
Object 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: Tyrol | Statement: [German-speaking Italy, historicalRegion, Tyrol]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tyrol
Context triple: [German-speaking Italy, historicalRegion, Tyrol]
  • A. Tyrol chosen
    Tyrol is a mountainous federal state in western Austria, renowned for its Alpine landscapes, ski resorts, and hiking regions.
  • 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. 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.
  • 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. Carinthia
    Carinthia is a mountainous federal state in southern Austria known for its Alpine landscapes, lakes, and outdoor tourism.
  • 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_69bd43f07fa48190954317d01600994a completed March 20, 2026, 12:56 p.m.
NER Named-entity recognition batch_69bd64c567288190a420e6825ee72822 completed March 20, 2026, 3:16 p.m.
NED1 Entity disambiguation (via context triple) batch_69beba45b1a88190bb607182167060af completed March 21, 2026, 3:33 p.m.
Created at: March 20, 2026, 1:20 p.m.