Triple

T9364413
Position Surface form Disambiguated ID Type / Status
Subject district of Pfaffenhofen an der Ilm E225363 entity
Predicate river P165 FINISHED
Object Ilm
Ilm is a river in Bavaria, Germany, that flows through the district of Pfaffenhofen an der Ilm and is a tributary of the Danube.
 E794731 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: Ilm | Statement: [district of Pfaffenhofen an der Ilm, river, Ilm]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Ilm
Context triple: [district of Pfaffenhofen an der Ilm, river, Ilm]
  • A. Ilm
    The Ilm is a river in the German state of Thuringia that flows through the historic city of Weimar and is known for its picturesque landscapes and cultural associations.
  • B. Ilami
    Ilami is a regional variety of Southern Kurdish spoken primarily in and around the city of Ilam in western Iran.
  • C. Sayanci
    Sayanci is a West Chadic language spoken in parts of northern Nigeria.
  • D. Kitab al-Ilm
    Kitab al-Ilm is the section of Sahih al-Bukhari devoted to prophetic teachings and rulings about knowledge, its virtues, and its proper transmission in Islam.
  • E. Iljumun
    Iljumun is the traditional Korean "One-Pillar Gate" that marks the symbolic entrance to many Buddhist temple complexes, representing the first step toward enlightenment.
  • 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: Ilm
Triple: [district of Pfaffenhofen an der Ilm, river, Ilm]
Generated description
Ilm is a river in Bavaria, Germany, that flows through the district of Pfaffenhofen an der Ilm and is a tributary of the Danube.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Ilm
Target entity description: Ilm is a river in Bavaria, Germany, that flows through the district of Pfaffenhofen an der Ilm and is a tributary of the Danube.
  • A. Ilm
    The Ilm is a river in the German state of Thuringia that flows through the historic city of Weimar and is known for its picturesque landscapes and cultural associations.
  • B. Ilami
    Ilami is a regional variety of Southern Kurdish spoken primarily in and around the city of Ilam in western Iran.
  • C. Sayanci
    Sayanci is a West Chadic language spoken in parts of northern Nigeria.
  • D. Kitab al-Ilm
    Kitab al-Ilm is the section of Sahih al-Bukhari devoted to prophetic teachings and rulings about knowledge, its virtues, and its proper transmission in Islam.
  • E. Iljumun
    Iljumun is the traditional Korean "One-Pillar Gate" that marks the symbolic entrance to many Buddhist temple complexes, representing the first step toward enlightenment.
  • 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_69ca842bdd648190904131d58620d448 completed March 30, 2026, 2:09 p.m.
NER Named-entity recognition batch_69cd503fd7f081909655e2a880c84834 completed April 1, 2026, 5:05 p.m.
NED1 Entity disambiguation (via context triple) batch_69d0f3f3c420819084b65fd4537aaf93 completed April 4, 2026, 11:20 a.m.
NEDg Description generation batch_69d0f619e91081909c2ec17e89376295 completed April 4, 2026, 11:29 a.m.
NED2 Entity disambiguation (via description) batch_69d0f6ce1a0c8190aca34958935e0e59 completed April 4, 2026, 11:32 a.m.
Created at: March 30, 2026, 7:42 p.m.