Triple

T19765257
Position Surface form Disambiguated ID Type / Status
Subject Tux E474736 entity
Predicate hasVillage P4011 FINISHED
Object Madseit
Madseit is a small alpine village in the municipality of Tux in the Zillertal Valley of Tyrol, Austria, known for its scenic mountain setting and proximity to ski and hiking areas.
E1394046 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: Madseit | Statement: [Tux, hasVillage, Madseit]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Madseit
Context triple: [Tux, hasVillage, Madseit]
  • A. Mårslet
    Mårslet is a suburban village and residential area located just south of the city of Aarhus in Denmark.
  • B. Mosen
    Mosen is a small Swiss village in the canton of Lucerne, situated in a rural lakeside setting in central Switzerland.
  • C. Seeberg
    Seeberg is a small Swiss municipality located in the Emmental region of the canton of Bern.
  • D. Seeberg
    Seeberg is a German-language surname associated with various notable individuals, including theologian Reinhold Seeberg.
  • E. Maselheim
    Maselheim is a rural municipality in the district of Biberach in the federal state of Baden-Württemberg in southern Germany.
  • 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: Madseit
Triple: [Tux, hasVillage, Madseit]
Generated description
Madseit is a small alpine village in the municipality of Tux in the Zillertal Valley of Tyrol, Austria, known for its scenic mountain setting and proximity to ski and hiking areas.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Madseit
Target entity description: Madseit is a small alpine village in the municipality of Tux in the Zillertal Valley of Tyrol, Austria, known for its scenic mountain setting and proximity to ski and hiking areas.
  • A. Mårslet
    Mårslet is a suburban village and residential area located just south of the city of Aarhus in Denmark.
  • B. Mosen
    Mosen is a small Swiss village in the canton of Lucerne, situated in a rural lakeside setting in central Switzerland.
  • C. Seeberg
    Seeberg is a small Swiss municipality located in the Emmental region of the canton of Bern.
  • D. Seeberg
    Seeberg is a German-language surname associated with various notable individuals, including theologian Reinhold Seeberg.
  • E. Maselheim
    Maselheim is a rural municipality in the district of Biberach in the federal state of Baden-Württemberg in southern Germany.
  • 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_69d8e51a43a08190956bc6df13c91a77 completed April 10, 2026, 11:55 a.m.
NER Named-entity recognition batch_69e653226af081909992ff5568bb54a5 completed April 20, 2026, 4:24 p.m.
NED1 Entity disambiguation (via context triple) batch_6a07bd6ffbfc81909a4481abf9b8fb5a completed May 16, 2026, 12:42 a.m.
NEDg Description generation batch_6a07be65daf88190a0ed2b6f8075141a completed May 16, 2026, 12:46 a.m.
NED2 Entity disambiguation (via description) batch_6a07bf1be9648190bac752e8a6ca12bc completed May 16, 2026, 12:49 a.m.
Created at: April 10, 2026, 1:48 p.m.