Triple

T20219796
Position Surface form Disambiguated ID Type / Status
Subject Paznaun Valley E495220 entity
Predicate highestSettlement P27515 FINISHED
Object Galtür NE NERFINISHED

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: Galtür | Statement: [Paznaun Valley, highestSettlement, Galtür]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Galtür
Context triple: [Paznaun Valley, highestSettlement, Galtür]
  • A. Galtür chosen
    Galtür is a picturesque alpine village and ski resort in the Austrian state of Tyrol, known for its winter sports, mountain scenery, and access to high-altitude hiking.
  • B. Oetz
    Oetz is a picturesque alpine village and popular tourist resort in the Tyrolean Ötztal region of western Austria, known for skiing, hiking, and outdoor recreation.
  • C. Gratkorn
    Gratkorn is a market town in the Austrian state of Styria, located just north of Graz and known for its large paper mill and industrial character.
  • D. St. Gilgen
    St. Gilgen is a picturesque Austrian village on the shores of Lake Wolfgang in the Salzkammergut region, known for its historic ties to the Mozart family and its alpine scenery.
  • E. Arnegg
    Arnegg is a village and district of the municipality of Blaustein in the Alb-Donau district of Baden-Württemberg, Germany.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69da626cff80819097b530718a7c98b6 completed April 11, 2026, 3:02 p.m.
NER Named-entity recognition batch_69e66edc88148190b003b72eb4c69da5 completed April 20, 2026, 6:22 p.m.
Created at: April 11, 2026, 11:39 p.m.