Triple

T11323736
Position Surface form Disambiguated ID Type / Status
Subject Altmünster E268155 entity
Predicate locatedNear P294 FINISHED
Object Traunkirchen
Traunkirchen is a picturesque lakeside village in Upper Austria, known for its scenic setting on Lake Traunsee and historic pilgrimage church.
E921202 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: Traunkirchen | Statement: [Altmünster, locatedNear, Traunkirchen]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Traunkirchen
Context triple: [Altmünster, locatedNear, Traunkirchen]
  • A. Traiskirchen
    Traiskirchen is a town in Lower Austria best known internationally for hosting one of Austria’s largest refugee reception centers.
  • B. Amstetten
    Amstetten is a town in northeastern Austria that serves as an important regional transport and commercial hub between Linz and Vienna.
  • C. Gumpoldskirchen
    Gumpoldskirchen is a historic wine-growing town in Lower Austria, renowned for its traditional vineyards and picturesque setting near Vienna.
  • D. Mitterskirchen
    Mitterskirchen is a small municipality in the district of Rottal-Inn in Lower Bavaria, Germany, known for its rural character and traditional Bavarian setting.
  • E. Vöcklabruck
    Vöcklabruck is a small historic town in Upper Austria known as a regional center near the Attersee lake and the foothills of the Alps.
  • 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: Traunkirchen
Triple: [Altmünster, locatedNear, Traunkirchen]
Generated description
Traunkirchen is a picturesque lakeside village in Upper Austria, known for its scenic setting on Lake Traunsee and historic pilgrimage church.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Traunkirchen
Target entity description: Traunkirchen is a picturesque lakeside village in Upper Austria, known for its scenic setting on Lake Traunsee and historic pilgrimage church.
  • A. Traiskirchen
    Traiskirchen is a town in Lower Austria best known internationally for hosting one of Austria’s largest refugee reception centers.
  • B. Amstetten
    Amstetten is a town in northeastern Austria that serves as an important regional transport and commercial hub between Linz and Vienna.
  • C. Gumpoldskirchen
    Gumpoldskirchen is a historic wine-growing town in Lower Austria, renowned for its traditional vineyards and picturesque setting near Vienna.
  • D. Mitterskirchen
    Mitterskirchen is a small municipality in the district of Rottal-Inn in Lower Bavaria, Germany, known for its rural character and traditional Bavarian setting.
  • E. Vöcklabruck
    Vöcklabruck is a small historic town in Upper Austria known as a regional center near the Attersee lake and the foothills of the Alps.
  • 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_69d6aaca5c24819083db46a30d86cb34 completed April 8, 2026, 7:21 p.m.
NER Named-entity recognition batch_69d7e9e122e48190b3f890de8d561480 completed April 9, 2026, 6:03 p.m.
NED1 Entity disambiguation (via context triple) batch_69e5564218bc8190bbaf9aceb69fdc26 completed April 19, 2026, 10:25 p.m.
NEDg Description generation batch_69e562bb085c8190942766d12d838798 completed April 19, 2026, 11:18 p.m.
NED2 Entity disambiguation (via description) batch_69e569f0e6948190b285ca84aca03771 completed April 19, 2026, 11:49 p.m.
Created at: April 8, 2026, 9:32 p.m.