Triple

T12235356
Position Surface form Disambiguated ID Type / Status
Subject Hagen E291575 entity
Predicate hasRiver P165 FINISHED
Object Ennepe E531916 NE FINISHED

How this triple was built (2 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: Ennepe | Statement: [Hagen, hasRiver, Ennepe]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ennepe
Context triple: [Hagen, hasRiver, Ennepe]
  • A. Ennepe chosen
    Ennepe is a river in North Rhine-Westphalia, Germany, that flows through the town of Ennepetal and serves as a tributary of the Ruhr.
  • B. Ahr River
    The Ahr River is a tributary of the Rhine in western Germany, known for flowing through the Eifel region and its surrounding wine-growing valleys.
  • C. Enkenbach
    Enkenbach is a locality in the German state of Rhineland-Palatinate, situated near Kaiserslautern and served by regional rail connections.
  • D. Elbbach
    Elbbach is a river in western Germany that flows through the town of Hadamar and is a tributary of the Lahn River.
  • E. Inn River
    The Inn River is a major Alpine river in Central Europe that flows through Switzerland, Austria, and Germany before joining the Danube.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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_69d6ab668acc8190963ba424049d6aee completed April 8, 2026, 7:24 p.m.
NER Named-entity recognition batch_69d91cb2892c81909a97b3ad6ec2c21b completed April 10, 2026, 3:52 p.m.
NED1 Entity disambiguation (via context triple) batch_69f60ab19a4c8190b4692d7ab0d02a12 completed May 2, 2026, 2:31 p.m.
Created at: April 8, 2026, 9:51 p.m.