Triple

T2544122
Position Surface form Disambiguated ID Type / Status
Subject Upper Austria E57855 entity
Predicate hasLake P1025 FINISHED
Object Traunsee
Traunsee is a picturesque alpine lake in Upper Austria, known for its deep waters, surrounding mountains, and popular lakeside towns like Gmunden.
 E279839 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: Traunsee | Statement: [Upper Austria, hasLake, Traunsee]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Traunsee
Context triple: [Upper Austria, hasLake, Traunsee]
  • A. Traun River
    The Traun River is a major tributary of the Danube in Austria, flowing through the Salzkammergut lake district and the state of Upper Austria.
  • B. Eisack
    Eisack is a major river in northern Italy that flows through the South Tyrol region, including the city of Bolzano, before joining the Adige.
  • C. Salzach River
    The Salzach River is a major river in Austria and Germany that flows through the city of Salzburg and forms part of the border between the two countries.
  • D. Enns
    Enns is a major river in Austria that flows through the Alps and forms part of the border between Upper and Lower Austria before joining the Danube.
  • E. Traisen
    Traisen is a river in northeastern Austria that flows through Lower Austria before joining the Danube.
  • 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: Traunsee
Triple: [Upper Austria, hasLake, Traunsee]
Generated description
Traunsee is a picturesque alpine lake in Upper Austria, known for its deep waters, surrounding mountains, and popular lakeside towns like Gmunden.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Traunsee
Target entity description: Traunsee is a picturesque alpine lake in Upper Austria, known for its deep waters, surrounding mountains, and popular lakeside towns like Gmunden.
  • A. Traun River
    The Traun River is a major tributary of the Danube in Austria, flowing through the Salzkammergut lake district and the state of Upper Austria.
  • B. Eisack
    Eisack is a major river in northern Italy that flows through the South Tyrol region, including the city of Bolzano, before joining the Adige.
  • C. Salzach River
    The Salzach River is a major river in Austria and Germany that flows through the city of Salzburg and forms part of the border between the two countries.
  • D. Enns
    Enns is a major river in Austria that flows through the Alps and forms part of the border between Upper and Lower Austria before joining the Danube.
  • E. Traisen
    Traisen is a river in northeastern Austria that flows through Lower Austria before joining the Danube.
  • 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_69ab4a5212d88190b989ce129f2ad87f completed March 6, 2026, 9:42 p.m.
NER Named-entity recognition batch_69abd2c10ce88190b242ab3d41878fda completed March 7, 2026, 7:24 a.m.
NED1 Entity disambiguation (via context triple) batch_69af655a0f088190a7ac30c6df1fdff6 completed March 10, 2026, 12:27 a.m.
NEDg Description generation batch_69af669436208190901d1f34592c1a42 completed March 10, 2026, 12:32 a.m.
NED2 Entity disambiguation (via description) batch_69af6760cf7c8190bb681f573828049e completed March 10, 2026, 12:35 a.m.
Created at: March 6, 2026, 9:47 p.m.