Triple

T16244668
Position Surface form Disambiguated ID Type / Status
Subject Glienicker Brücke E394339 entity
Predicate crosses P416 FINISHED
Object Havel River E30026 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: Havel River | Statement: [Glienicker Brücke, crosses, Havel River]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Havel River
Context triple: [Glienicker Brücke, crosses, Havel River]
  • A. Havel River chosen
    The Havel River is a major waterway in northeastern Germany that flows through Berlin and Brandenburg, connecting numerous lakes and serving as an important route for transport and recreation.
  • B. Sázava River
    The Sázava River is a scenic tributary of the Vltava in the Czech Republic, known for its picturesque valleys, historic sites, and popularity for canoeing and recreation.
  • C. Váh River
    The Váh River is the longest river in Slovakia, flowing from the Tatra Mountains through much of the country before joining the Danube.
  • D. Opava River
    The Opava River is a significant watercourse in the Czech Republic that flows through the historical region of Silesia, including the city of Opava, before joining the Oder River.
  • E. Orlice River
    The Orlice River is a significant river in the Czech Republic that flows through eastern Bohemia and joins the Elbe near the city of Hradec Králové.
  • 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_69d87f2171208190951025e526947816 completed April 10, 2026, 4:40 a.m.
NER Named-entity recognition batch_69e24560c6848190ae0e85ecb11a9264 completed April 17, 2026, 2:36 p.m.
NED1 Entity disambiguation (via context triple) batch_6a0084a88dc08190a78973bc71f179d4 completed May 10, 2026, 1:14 p.m.
Created at: April 10, 2026, 5:04 a.m.