Triple

T13557195
Position Surface form Disambiguated ID Type / Status
Subject Emsbach E323805 entity
Predicate hydrologicalSystem P1009 FINISHED
Object Lahn watershed E80767 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: Lahn watershed | Statement: [Emsbach, hydrologicalSystem, Lahn watershed]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lahn watershed
Context triple: [Emsbach, hydrologicalSystem, Lahn watershed]
  • A. Inn River basin
    The Inn River basin is the catchment area of the Inn River, spanning parts of Switzerland, Austria, and Germany and draining a significant portion of the eastern Alps.
  • B. Lahn chosen
    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. Saale River basin
    The Saale River basin is the drainage area of the Saale River in central Germany, encompassing its tributaries and surrounding landscapes before the river joins the Elbe.
  • D. Rednitz river basin
    The Rednitz river basin is the drainage area in Franconia, Germany, encompassing the Rednitz River and its tributaries, including the Roth.
  • E. Nisa (Neisse) River basin
    The Nisa (Neisse) River basin is the drainage area of the Nisa/Neisse River in Central Europe, spanning parts of the Czech Republic, Poland, and Germany and encompassing cities such as Reichenberg (Liberec).
  • 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_69d8076830b48190910a902bae5888e2 completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69dbaff3063c8190bd20149b3f7df352 completed April 12, 2026, 2:45 p.m.
NED1 Entity disambiguation (via context triple) batch_69f76bb0195c8190b62e7aad4d78f899 completed May 3, 2026, 3:37 p.m.
Created at: April 9, 2026, 9:47 p.m.