Triple

T9813662
Position Surface form Disambiguated ID Type / Status
Subject Saar River E238341 entity
Predicate flowsThrough P225 FINISHED
Object Merzig E751597 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: Merzig | Statement: [Saar River, flowsThrough, Merzig]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Merzig
Context triple: [Saar River, flowsThrough, Merzig]
  • A. Merzig chosen
    Merzig is a town in the Saarland region of western Germany, near the borders with France and Luxembourg.
  • B. Moselle
    Moselle is a department in northeastern France, bordering Germany and Luxembourg, known for its strategic location, industrial history, and mixed French-German cultural heritage.
  • C. Moselle River
    The Moselle River is a major European waterway flowing through France, Luxembourg, and Germany, renowned for its scenic valleys and wine-producing regions.
  • 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. Rhens
    Rhens is a historic town on the Rhine River in western Germany, known for its medieval role as a meeting place of the prince-electors of the Holy Roman Empire.
  • 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_69ca84defac48190abc1148804f184c1 completed March 30, 2026, 2:12 p.m.
NER Named-entity recognition batch_69cdb22410208190b82b81a4df800f80 completed April 2, 2026, 12:02 a.m.
NED1 Entity disambiguation (via context triple) batch_69d22871bfe48190909467f07eda0118 completed April 5, 2026, 9:16 a.m.
Created at: March 30, 2026, 8:30 p.m.