Triple

T5381571
Position Surface form Disambiguated ID Type / Status
Subject Ill E113094 entity
Predicate hasTributary P415 FINISHED
Object Andlau E446634 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: Andlau | Statement: [Ill, hasTributary, Andlau]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Andlau
Context triple: [Ill, hasTributary, Andlau]
  • A. Andlau chosen
    Andlau is a picturesque wine-growing village in northeastern France’s Alsace region, renowned for its historic abbey and surrounding vineyards.
  • B. Dömitz
    Dömitz is a small historic town in northern Germany, known for its well-preserved fortress and location on the Elbe River near the former inner-German border.
  • C. Eidlitz
    Eidlitz is a surname most notably associated with Leopold Eidlitz, a prominent 19th-century American architect.
  • D. Kraichgau
    Kraichgau is a hilly, fertile region in southwestern Germany known for its agriculture, vineyards, and picturesque landscapes between the Black Forest and the Odenwald.
  • E. Graudenz
    Graudenz is the German name for the historic city of Grudziądz, now in northern Poland, known for its medieval fortifications and strategic location on the Vistula River.
  • 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_69bd4436a1988190af18dcff7fd306b4 completed March 20, 2026, 12:57 p.m.
NER Named-entity recognition batch_69bd86cfe7fc8190bb73c60cae7c927d completed March 20, 2026, 5:41 p.m.
NED1 Entity disambiguation (via context triple) batch_69bf335661c8819091058a5275b95284 completed March 22, 2026, 12:09 a.m.
Created at: March 20, 2026, 2:03 p.m.