Triple

T13489140
Position Surface form Disambiguated ID Type / Status
Subject Thale Hauptbahnhof E318586 entity
Predicate fareZone P844 FINISHED
Object marego 11
marego 11 is a public transport fare zone within the marego (Magdeburger Regionalverkehrsverbund) tariff network in Saxony-Anhalt, Germany.
 E1043673 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: marego 11 | Statement: [Thale Hauptbahnhof, fareZone, marego 11]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: marego 11
Context triple: [Thale Hauptbahnhof, fareZone, marego 11]
  • A. Marebbe
    Marebbe is a mountain municipality in South Tyrol, northern Italy, known for its Ladin culture and location in the Dolomites.
  • B. Mugavero
    Mugavero is an Italian-origin surname borne by various individuals, including figures in religious, academic, and public life.
  • C. Marchegiano
    Marchegiano is the Italian surname of legendary undefeated heavyweight boxing champion Rocky Marciano.
  • D. Maruggio
    Maruggio is a small historic town and coastal municipality in the Apulia region of southern Italy, known for its traditional architecture and proximity to the Ionian Sea.
  • E. Maiao
    Maiao is a small, sparsely populated island in French Polynesia’s Society Islands, known for its traditional Polynesian lifestyle and limited accessibility.
  • 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: marego 11
Triple: [Thale Hauptbahnhof, fareZone, marego 11]
Generated description
marego 11 is a public transport fare zone within the marego (Magdeburger Regionalverkehrsverbund) tariff network in Saxony-Anhalt, Germany.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: marego 11
Target entity description: marego 11 is a public transport fare zone within the marego (Magdeburger Regionalverkehrsverbund) tariff network in Saxony-Anhalt, Germany.
  • A. Marebbe
    Marebbe is a mountain municipality in South Tyrol, northern Italy, known for its Ladin culture and location in the Dolomites.
  • B. Mugavero
    Mugavero is an Italian-origin surname borne by various individuals, including figures in religious, academic, and public life.
  • C. Marchegiano
    Marchegiano is the Italian surname of legendary undefeated heavyweight boxing champion Rocky Marciano.
  • D. Maruggio
    Maruggio is a small historic town and coastal municipality in the Apulia region of southern Italy, known for its traditional architecture and proximity to the Ionian Sea.
  • E. Maiao
    Maiao is a small, sparsely populated island in French Polynesia’s Society Islands, known for its traditional Polynesian lifestyle and limited accessibility.
  • 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_69d806b6bfec819089222715b2e86c8e completed April 9, 2026, 8:06 p.m.
NER Named-entity recognition batch_69dbaf3cbe2081908c6792362c67c8f1 completed April 12, 2026, 2:42 p.m.
NED1 Entity disambiguation (via context triple) batch_69f7463b758c8190abc0dd2a049d751e completed May 3, 2026, 12:57 p.m.
NEDg Description generation batch_69f74d048250819098baf78ff08c1633 completed May 3, 2026, 1:26 p.m.
NED2 Entity disambiguation (via description) batch_69f750f7f11481908c60b49eef65b63f completed May 3, 2026, 1:43 p.m.
Created at: April 9, 2026, 9:43 p.m.