Triple

T11912794
Position Surface form Disambiguated ID Type / Status
Subject Währing E283435 entity
Predicate borderedBy P224 FINISHED
Object Hernals
Hernals is the 17th district of Vienna, Austria, known for its mix of urban neighborhoods, green hillsides, and historic suburban character.
 E953107 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: Hernals | Statement: [Währing, borderedBy, Hernals]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Hernals
Context triple: [Währing, borderedBy, Hernals]
  • A. Hertevin
    Hertevin is a modern Eastern Aramaic dialect traditionally spoken by a small Christian community from the village of Hertevin in southeastern Turkey.
  • B. Hamren
    Hamren is a town in the Indian state of Assam that serves as the main administrative and service center for the surrounding West Karbi Anglong region.
  • C. Hesselberg
    Hesselberg is a prominent hill in Bavaria, Germany, known as the highest elevation of the Franconian Alb region.
  • D. Hantes
    Hantes is a river in Belgium and France that serves as a tributary of the Sambre.
  • E. Hernici
    The Hernici were an ancient Italic tribe of central Italy, known for their early alliance and later conflicts with the expanding Roman Republic.
  • 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: Hernals
Triple: [Währing, borderedBy, Hernals]
Generated description
Hernals is the 17th district of Vienna, Austria, known for its mix of urban neighborhoods, green hillsides, and historic suburban character.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Hernals
Target entity description: Hernals is the 17th district of Vienna, Austria, known for its mix of urban neighborhoods, green hillsides, and historic suburban character.
  • A. Hertevin
    Hertevin is a modern Eastern Aramaic dialect traditionally spoken by a small Christian community from the village of Hertevin in southeastern Turkey.
  • B. Hamren
    Hamren is a town in the Indian state of Assam that serves as the main administrative and service center for the surrounding West Karbi Anglong region.
  • C. Hesselberg
    Hesselberg is a prominent hill in Bavaria, Germany, known as the highest elevation of the Franconian Alb region.
  • D. Hantes
    Hantes is a river in Belgium and France that serves as a tributary of the Sambre.
  • E. Hernici
    The Hernici were an ancient Italic tribe of central Italy, known for their early alliance and later conflicts with the expanding Roman Republic.
  • 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_69d6ab2c07e88190ba13b0d21fd6cf33 completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d8e528f6748190ac873a040a61fa93 completed April 10, 2026, 11:55 a.m.
NED1 Entity disambiguation (via context triple) batch_69f4185fd3588190807cc2906c4ce3fd completed May 1, 2026, 3:05 a.m.
NEDg Description generation batch_69f41f1e746c81909f78f0e0bf173c7b completed May 1, 2026, 3:33 a.m.
NED2 Entity disambiguation (via description) batch_69f42291f3608190ab079f939d34cf15 completed May 1, 2026, 3:48 a.m.
Created at: April 8, 2026, 9:44 p.m.