Triple

T746436
Position Surface form Disambiguated ID Type / Status
Subject Black Forest E15351 entity
Predicate hasRiverSource P947 FINISHED
Object Enz
The Enz is a river in southwestern Germany that flows through the Black Forest region before joining the Neckar River.
 E88874 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: Enz | Statement: [Black Forest, hasRiverSource, Enz]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Enz
Context triple: [Black Forest, hasRiverSource, Enz]
  • A. Este
    Este is an ancient town in northern Italy notable as a key center of the Venetic civilization and culture.
  • B. El
    El is the common nickname for Philadelphia’s elevated Market–Frankford rapid transit line operated by SEPTA.
  • C. El
    El is the chief god of the ancient Canaanite pantheon, often depicted as a patriarchal creator and father of other deities.
  • D. Gassel
    Gassel is a village in the Dutch province of North Brabant, known historically as a separate municipality before being incorporated into a larger administrative unit.
  • E. Tozzer
    Tozzer is a surname most notably associated with Alfred Marston Tozzer, an American anthropologist and archaeologist known for his pioneering work on Mayan civilization.
  • 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: Enz
Triple: [Black Forest, hasRiverSource, Enz]
Generated description
The Enz is a river in southwestern Germany that flows through the Black Forest region before joining the Neckar River.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Enz
Target entity description: The Enz is a river in southwestern Germany that flows through the Black Forest region before joining the Neckar River.
  • A. Este
    Este is an ancient town in northern Italy notable as a key center of the Venetic civilization and culture.
  • B. El
    El is the common nickname for Philadelphia’s elevated Market–Frankford rapid transit line operated by SEPTA.
  • C. El
    El is the chief god of the ancient Canaanite pantheon, often depicted as a patriarchal creator and father of other deities.
  • D. Gassel
    Gassel is a village in the Dutch province of North Brabant, known historically as a separate municipality before being incorporated into a larger administrative unit.
  • E. Tozzer
    Tozzer is a surname most notably associated with Alfred Marston Tozzer, an American anthropologist and archaeologist known for his pioneering work on Mayan civilization.
  • 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_69a49358aa308190adbc9b5a0a2adcf9 completed March 1, 2026, 7:28 p.m.
NER Named-entity recognition batch_69a4a62ca1d081908e3191411f86498d completed March 1, 2026, 8:48 p.m.
NED1 Entity disambiguation (via context triple) batch_69a654e664e4819081badaf0ba0d86e5 completed March 3, 2026, 3:26 a.m.
NEDg Description generation batch_69a655e0a2608190801fb67856bc2ac4 completed March 3, 2026, 3:30 a.m.
NED2 Entity disambiguation (via description) batch_69a65704a964819097ad5074e83303b4 completed March 3, 2026, 3:35 a.m.
Created at: March 1, 2026, 7:37 p.m.