Triple

T746440
Position Surface form Disambiguated ID Type / Status
Subject Black Forest E15351 entity
Predicate hasRiverSource P947 FINISHED
Object Wiese
The Wiese is a river in southwestern Germany that flows through the Black Forest region before joining the Rhine.
E108881 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: Wiese | Statement: [Black Forest, hasRiverSource, Wiese]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Wiese
Context triple: [Black Forest, hasRiverSource, Wiese]
  • A. Wiesen
    Wiesen is a small locality that forms one of the subdivisions of the town of Lichtenfels in Germany.
  • B. Lahn
    The Lahn is a river in western Germany that flows through the states of North Rhine-Westphalia, Hesse, and Rhineland-Palatinate before joining the Rhine.
  • C. Würschnitz
    Würschnitz is a small river in Saxony, Germany, that serves as one of the tributaries feeding into the Chemnitz River.
  • D. Mulde
    The Mulde is a river in central Germany that flows through the state of Saxony and is formed by the confluence of the Zwickauer Mulde and Freiberger Mulde.
  • E. Sihl River
    The Sihl River is a Swiss river that flows through the canton of Zurich and joins the Limmat in the city of Zurich.
  • 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: Wiese
Triple: [Black Forest, hasRiverSource, Wiese]
Generated description
The Wiese is a river in southwestern Germany that flows through the Black Forest region before joining the Rhine.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Wiese
Target entity description: The Wiese is a river in southwestern Germany that flows through the Black Forest region before joining the Rhine.
  • A. Wiesen
    Wiesen is a small locality that forms one of the subdivisions of the town of Lichtenfels in Germany.
  • B. Lahn
    The Lahn is a river in western Germany that flows through the states of North Rhine-Westphalia, Hesse, and Rhineland-Palatinate before joining the Rhine.
  • C. Würschnitz
    Würschnitz is a small river in Saxony, Germany, that serves as one of the tributaries feeding into the Chemnitz River.
  • D. Mulde
    The Mulde is a river in central Germany that flows through the state of Saxony and is formed by the confluence of the Zwickauer Mulde and Freiberger Mulde.
  • E. Sihl River
    The Sihl River is a Swiss river that flows through the canton of Zurich and joins the Limmat in the city of Zurich.
  • 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_69a7cf4b62b08190bc8d5978595ce60b completed March 4, 2026, 6:20 a.m.
NEDg Description generation batch_69a7d19fd2e481908218d532888418d9 completed March 4, 2026, 6:30 a.m.
NED2 Entity disambiguation (via description) batch_69a7d2308ed88190b223fe6d2fbb5662 completed March 4, 2026, 6:33 a.m.
Created at: March 1, 2026, 7:37 p.m.