Triple

T19417028
Position Surface form Disambiguated ID Type / Status
Subject Pinzgau E485747 entity
Predicate contains P35 FINISHED
Object Lofer
Lofer is a picturesque market town and popular alpine tourism destination in the Pinzgau region of Salzburg, Austria.
 E1374965 NE FINISHED

How this triple was built (4 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: Lofer | Statement: [Pinzgau, contains, Lofer]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Lofer
Context triple: [Pinzgau, contains, Lofer]
  • A. Loferl
    Loferl are traditional Bavarian calf-warmers or split socks typically worn with Lederhosen as part of Alpine folk costume.
  • B. Fürth
    Fürth is a historic city in northern Bavaria, Germany, known for its well-preserved old town and proximity to Nuremberg within the Franconian metropolitan region.
  • C. Grazer
    Grazer is a surname most notably associated with American film and television producer Brian Grazer.
  • D. Loket
    Loket is a historic Czech town renowned for its medieval castle and picturesque setting on a bend of the Ohře River.
  • E. Payerne
    Payerne is a historic town and municipality in the canton of Vaud, Switzerland, known for its medieval abbey and regional agricultural significance.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Lofer
Triple: [Pinzgau, contains, Lofer]
Generated description
Lofer is a picturesque market town and popular alpine tourism destination in the Pinzgau region of Salzburg, Austria.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Lofer
Target entity description: Lofer is a picturesque market town and popular alpine tourism destination in the Pinzgau region of Salzburg, Austria.
  • A. Loferl
    Loferl are traditional Bavarian calf-warmers or split socks typically worn with Lederhosen as part of Alpine folk costume.
  • B. Fürth
    Fürth is a historic city in northern Bavaria, Germany, known for its well-preserved old town and proximity to Nuremberg within the Franconian metropolitan region.
  • C. Grazer
    Grazer is a surname most notably associated with American film and television producer Brian Grazer.
  • D. Loket
    Loket is a historic Czech town renowned for its medieval castle and picturesque setting on a bend of the Ohře River.
  • E. Payerne
    Payerne is a historic town and municipality in the canton of Vaud, Switzerland, known for its medieval abbey and regional agricultural significance.
  • F. None of above. chosen

Provenance (5 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_69d8e8d688f881909c85104a62e09d8a completed April 10, 2026, 12:11 p.m.
NER Named-entity recognition batch_69e62afad8d881908f1de6324e55d2f6 completed April 20, 2026, 1:32 p.m.
NED1 Entity disambiguation (via context triple) batch_6a0733ce2e6081909e8baebf638747f1 completed May 15, 2026, 2:55 p.m.
NEDg Description generation batch_6a0734cfc2488190a488c40431a0b612 completed May 15, 2026, 2:59 p.m.
NED2 Entity disambiguation (via description) batch_6a0735c38b7881908489916ff2f2883e completed May 15, 2026, 3:03 p.m.
Created at: April 10, 2026, 1:37 p.m.