Triple

T21393824
Position Surface form Disambiguated ID Type / Status
Subject Metzingen E527727 entity
Predicate hasRiver P165 FINISHED
Object Erms
The Erms is a river in the German state of Baden-Württemberg that flows through the town of Metzingen before joining the Neckar.
E1482237 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: Erms | Statement: [Metzingen, hasRiver, Erms]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Erms
Context triple: [Metzingen, hasRiver, Erms]
  • A. Hernals
    Hernals is the 17th district of Vienna, Austria, known for its mix of urban neighborhoods, green hillsides, and historic suburban character.
  • B. Oberems
    Oberems is a village and municipal district within the municipality of Glashütten in the Hochtaunus region of Hesse, Germany.
  • C. Mahlberg
    Mahlberg is a small town and municipality in the Ortenau district of Baden-Württemberg in southwestern Germany.
  • D. Oberelsungen
    Oberelsungen is a village and district (Ortsteil) of the town of Zierenberg in the state of Hesse, Germany.
  • E. Ursem
    Ursem is a village in the Dutch province of North Holland, known for its rural character and traditional polder landscape.
  • 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: Erms
Triple: [Metzingen, hasRiver, Erms]
Generated description
The Erms is a river in the German state of Baden-Württemberg that flows through the town of Metzingen before joining the Neckar.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Erms
Target entity description: The Erms is a river in the German state of Baden-Württemberg that flows through the town of Metzingen before joining the Neckar.
  • A. Hernals
    Hernals is the 17th district of Vienna, Austria, known for its mix of urban neighborhoods, green hillsides, and historic suburban character.
  • B. Oberems
    Oberems is a village and municipal district within the municipality of Glashütten in the Hochtaunus region of Hesse, Germany.
  • C. Mahlberg
    Mahlberg is a small town and municipality in the Ortenau district of Baden-Württemberg in southwestern Germany.
  • D. Oberelsungen
    Oberelsungen is a village and district (Ortsteil) of the town of Zierenberg in the state of Hesse, Germany.
  • E. Ursem
    Ursem is a village in the Dutch province of North Holland, known for its rural character and traditional polder landscape.
  • 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_69e0b51ff3748190935c0a513c62a12b completed April 16, 2026, 10:08 a.m.
NER Named-entity recognition batch_69ee62cd30f08190aba90afed6116a2a completed April 26, 2026, 7:09 p.m.
NED1 Entity disambiguation (via context triple) batch_6a09bb4a9390819093f0ce34f96420ce completed May 17, 2026, 12:57 p.m.
NEDg Description generation batch_6a09bea3994481908b7a782fd384603a completed May 17, 2026, 1:12 p.m.
NED2 Entity disambiguation (via description) batch_6a09bfa27d848190bb77d632359a11b3 completed May 17, 2026, 1:16 p.m.
Created at: April 16, 2026, 5:13 p.m.