Triple

T15268898
Position Surface form Disambiguated ID Type / Status
Subject Southern Bavarian E364969 entity
Predicate spokenIn P2266 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: [Southern Bavarian, spokenIn, Carinthia]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Carinthia
Context triple: [Southern Bavarian, spokenIn, Carinthia]
  • A. Carinthia chosen
    Carinthia is a mountainous federal state in southern Austria known for its Alpine landscapes, lakes, and outdoor tourism.
  • B. Tyrol
    Tyrol is a mountainous federal state in western Austria, renowned for its Alpine landscapes, ski resorts, and hiking regions.
  • 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. Styria
    Styria is a federal state in southeastern Austria known for its capital Graz, diverse landscapes, and strong industrial and educational sectors.
  • E. 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.
  • 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_69d85a0f08408190b3c3259ae35d79d2 completed April 10, 2026, 2:01 a.m.
NER Named-entity recognition batch_69e0094ca9ac8190a1f97a7b74c96cd5 completed April 15, 2026, 9:55 p.m.
NED1 Entity disambiguation (via context triple) batch_69fef895f9708190a44ee7ade1c46a7d completed May 9, 2026, 9:04 a.m.
Created at: April 10, 2026, 3:14 a.m.