Triple

T19422696
Position Surface form Disambiguated ID Type / Status
Subject Waidbruck E485896 entity
Predicate borderedBy P224 FINISHED
Object Kastelruth
Kastelruth is a picturesque municipality in South Tyrol, northern Italy, known for its traditional Alpine character and proximity to the Dolomites.
E1375903 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: Kastelruth | Statement: [Waidbruck, borderedBy, Kastelruth]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kastelruth
Context triple: [Waidbruck, borderedBy, Kastelruth]
  • A. Ottobeuren
    Ottobeuren is a market town in Bavaria, Germany, best known for its historic Benedictine abbey and impressive Baroque architecture.
  • B. Hitzendorf
    Hitzendorf is a municipality in the Austrian state of Styria, located near the city of Graz.
  • C. Schneidemühl
    Schneidemühl was a former German town (now Piła in Poland) that historically served as an important regional administrative and railway center.
  • D. Jachenau
    Jachenau is a small Bavarian municipality in southern Germany, known for its scenic alpine landscape and traditional rural character.
  • E. Lommatzsch
    Lommatzsch is a small town in the Free State of Saxony in eastern Germany, known for its agricultural surroundings and historic town center.
  • 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: Kastelruth
Triple: [Waidbruck, borderedBy, Kastelruth]
Generated description
Kastelruth is a picturesque municipality in South Tyrol, northern Italy, known for its traditional Alpine character and proximity to the Dolomites.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Kastelruth
Target entity description: Kastelruth is a picturesque municipality in South Tyrol, northern Italy, known for its traditional Alpine character and proximity to the Dolomites.
  • A. Ottobeuren
    Ottobeuren is a market town in Bavaria, Germany, best known for its historic Benedictine abbey and impressive Baroque architecture.
  • B. Hitzendorf
    Hitzendorf is a municipality in the Austrian state of Styria, located near the city of Graz.
  • C. Schneidemühl
    Schneidemühl was a former German town (now Piła in Poland) that historically served as an important regional administrative and railway center.
  • D. Jachenau
    Jachenau is a small Bavarian municipality in southern Germany, known for its scenic alpine landscape and traditional rural character.
  • E. Lommatzsch
    Lommatzsch is a small town in the Free State of Saxony in eastern Germany, known for its agricultural surroundings and historic town center.
  • 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_69e632159d7081909d004544ec5992c0 completed April 20, 2026, 2:03 p.m.
NED1 Entity disambiguation (via context triple) batch_6a0733d1d4148190b7dae069a76e7041 completed May 15, 2026, 2:55 p.m.
NEDg Description generation batch_6a0735ce9a348190af1d3f58f1bb26cd completed May 15, 2026, 3:03 p.m.
NED2 Entity disambiguation (via description) batch_6a0736c250708190a6f9ac2364038432 completed May 15, 2026, 3:07 p.m.
Created at: April 10, 2026, 1:37 p.m.