Triple

T14306642
Position Surface form Disambiguated ID Type / Status
Subject Marbach am Neckar E354713 entity
Predicate hasTwinTown P919 FINISHED
Object Marbache
Marbache is a French commune that is twinned with the German town of Marbach am Neckar.
E1100169 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: Marbache | Statement: [Marbach am Neckar, hasTwinTown, Marbache]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Marbache
Context triple: [Marbach am Neckar, hasTwinTown, Marbache]
  • A. Morges River
    The Morges River is a small river in western Switzerland that drains into Lake Geneva near the town of Morges.
  • B. Nassogne
    Nassogne is a rural municipality and village in the Ardennes region of Belgium’s Luxembourg Province, known for its forests and traditional countryside.
  • C. Broye
    Broye is a river in western Switzerland that flows through the cantons of Fribourg and Vaud before emptying into Lake Neuchâtel.
  • D. Rickenbach
    Rickenbach is a locality that forms part of the municipality of Wolfurt in the Austrian state of Vorarlberg.
  • E. La Bresse
    La Bresse is a French mountain town in northeastern France known for its ski resort and outdoor activities in the Vosges.
  • 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: Marbache
Triple: [Marbach am Neckar, hasTwinTown, Marbache]
Generated description
Marbache is a French commune that is twinned with the German town of Marbach am Neckar.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Marbache
Target entity description: Marbache is a French commune that is twinned with the German town of Marbach am Neckar.
  • A. Morges River
    The Morges River is a small river in western Switzerland that drains into Lake Geneva near the town of Morges.
  • B. Nassogne
    Nassogne is a rural municipality and village in the Ardennes region of Belgium’s Luxembourg Province, known for its forests and traditional countryside.
  • C. Broye
    Broye is a river in western Switzerland that flows through the cantons of Fribourg and Vaud before emptying into Lake Neuchâtel.
  • D. Rickenbach
    Rickenbach is a locality that forms part of the municipality of Wolfurt in the Austrian state of Vorarlberg.
  • E. La Bresse
    La Bresse is a French mountain town in northeastern France known for its ski resort and outdoor activities in the Vosges.
  • 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_69d8278ed42c8190b9f882dcce611347 completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69de85b156b0819083f2bd319deed1b6 completed April 14, 2026, 6:21 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd647daf448190a7a9e4ab432977c4 completed May 8, 2026, 4:20 a.m.
NEDg Description generation batch_69fd6539793881909d1fd3985c171837 completed May 8, 2026, 4:23 a.m.
NED2 Entity disambiguation (via description) batch_69fd65c06fc88190a7d2a84d7858b20f completed May 8, 2026, 4:25 a.m.
Created at: April 10, 2026, 1:12 a.m.