Triple

T3089987
Position Surface form Disambiguated ID Type / Status
Subject Swabia (Bavaria) E64457 entity
Predicate containsBodyOfWater P1778 FINISHED
Object Lech River E38291 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: Lech River | Statement: [Swabia (Bavaria), containsBodyOfWater, Lech River]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lech River
Context triple: [Swabia (Bavaria), containsBodyOfWater, Lech River]
  • A. Lech River chosen
    The Lech River is a major Alpine river flowing through Austria and southern Germany, known for its scenic course, hydropower use, and role as a tributary of the Danube.
  • B. Dunajec River
    The Dunajec River is a picturesque river in southern Poland and northern Slovakia, renowned for its scenic gorge and popular rafting routes through the Pieniny Mountains.
  • C. Bystrzyca River
    The Bystrzyca River is a river in eastern Poland that flows through the city of Lublin and is a tributary of the Wieprz River.
  • D. Bóbr River
    The Bóbr River is a major river in southwestern Poland that flows through the Sudetes and Lower Silesia before joining the Oder.
  • 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_69ad857c97d88190b26f9b1c90839c77 completed March 8, 2026, 2:19 p.m.
NER Named-entity recognition batch_69ada20d8f788190b05b8b6b5042bc1a completed March 8, 2026, 4:21 p.m.
NED1 Entity disambiguation (via context triple) batch_69b31a4da4b48190987aa1c1f5f61fd9 completed March 12, 2026, 7:55 p.m.
Created at: March 8, 2026, 3:03 p.m.