Triple

T3174877
Position Surface form Disambiguated ID Type / Status
Subject South Queensferry E66437 entity
Predicate hasTwinTown P919 FINISHED
Object Brixen E262258 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: Brixen | Statement: [South Queensferry, hasTwinTown, Brixen]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Brixen
Context triple: [South Queensferry, hasTwinTown, Brixen]
  • A. Kufstein
    Kufstein is a historic town in the Austrian state of Tyrol, known for its medieval fortress and picturesque setting in the Alps near the German border.
  • B. Brunico chosen
    Brunico is a historic town and popular tourist center in northern Italy’s Alps, known for its medieval old town, castle, and proximity to the Dolomites.
  • C. Landeck
    Landeck is a small town in the Tyrolean Alps of western Austria, known as a regional transport hub and gateway to nearby ski and hiking areas.
  • D. Val Gardena
    Val Gardena is a renowned valley in the Dolomites of northern Italy, famous for its alpine scenery, ski resorts, and Ladin-speaking communities.
  • E. Merano
    Merano is a historic spa and resort town in northern Italy known for its mild climate, Alpine scenery, and blend of Italian and Austrian cultural influences.
  • 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_69ad8586a34c8190944c63ec11a8de1a completed March 8, 2026, 2:19 p.m.
NER Named-entity recognition batch_69ada670c800819098937783e2b05c7a completed March 8, 2026, 4:40 p.m.
NED1 Entity disambiguation (via context triple) batch_69b262049a38819091efe2a322275abd completed March 12, 2026, 6:49 a.m.
Created at: March 8, 2026, 3:06 p.m.