Triple

T1743827
Position Surface form Disambiguated ID Type / Status
Subject Lech River E38291 entity
Predicate flowsThrough P225 FINISHED
Object Tyrol E104741 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: [Lech River, flowsThrough, Tyrol]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tyrol
Context triple: [Lech River, flowsThrough, Tyrol]
  • A. Carinthia
    Carinthia is a mountainous federal state in southern Austria known for its Alpine landscapes, lakes, and outdoor tourism.
  • B. Vorarlberg
    Vorarlberg is Austria’s westernmost federal state, culturally and linguistically close to neighboring Switzerland and Liechtenstein.
  • C. County of Tyrol chosen
    The County of Tyrol was a historic principality in the eastern Alps that became a key territory of the Habsburg Monarchy, encompassing regions of present-day Austria and Italy.
  • D. Ötztal
    Ötztal is a prominent alpine valley in western Austria known for its dramatic mountain scenery, ski resorts, and outdoor recreation opportunities.
  • 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_69a8862b01a48190ab47209063af82d9 completed March 4, 2026, 7:21 p.m.
NER Named-entity recognition batch_69aa63e804848190a19c10f4e609e900 completed March 6, 2026, 5:19 a.m.
NED1 Entity disambiguation (via context triple) batch_69ada0dbc7c081909d637c5a482389ef completed March 8, 2026, 4:16 p.m.
Created at: March 4, 2026, 7:31 p.m.