Triple

T9199684
Position Surface form Disambiguated ID Type / Status
Subject Münsterländer Bucht E220804 entity
Predicate hasRiver P165 FINISHED
Object Lippe E148047 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: Lippe | Statement: [Münsterländer Bucht, hasRiver, Lippe]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lippe
Context triple: [Münsterländer Bucht, hasRiver, Lippe]
  • A. Lippe chosen
    The Lippe is a river in western Germany that flows through North Rhine-Westphalia and is a right-bank tributary of the Rhine.
  • B. Lippe
    Lippe is a historical region in northwestern Germany that once formed a small principality and later a Free State within the German Reich.
  • C. Rheine
    Rheine is a German city in the state of North Rhine-Westphalia, known for its historical town center and location along the River Ems.
  • D. Blies
    The Blies is a river in western Germany and northeastern France that flows through the Saarland region before joining the Saar River.
  • E. Wupper
    The Wupper is a river in North Rhine-Westphalia, Germany, known for flowing through the industrial city of Wuppertal and its surrounding region.
  • 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_69ca83e8e9248190862cf3e41693b310 completed March 30, 2026, 2:08 p.m.
NER Named-entity recognition batch_69ccd881c5d48190bbc33fac71a1d849 completed April 1, 2026, 8:34 a.m.
NED1 Entity disambiguation (via context triple) batch_69d316faaed48190aa51e52b5b774cd8 completed April 6, 2026, 2:14 a.m.
Created at: March 30, 2026, 7:25 p.m.