Triple

T8876991
Position Surface form Disambiguated ID Type / Status
Subject Aller River E211310 entity
Predicate hasFloodplain P14914 FINISHED
Object Aller valley E172361 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: Aller valley | Statement: [Aller River, hasFloodplain, Aller valley]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Aller valley
Context triple: [Aller River, hasFloodplain, Aller valley]
  • A. Aller Valley chosen
    Aller Valley is a scenic river valley region in Lower Saxony, Germany, shaped by the course of the Aller River and known for its rural landscapes and small historic towns.
  • B. Anna Valley
    Anna Valley is a small village in Hampshire, England, situated near Andover and known for its rural character and residential community.
  • C. Stillupp Valley
    Stillupp Valley is a scenic side valley of the Zillertal in Tyrol, Austria, known for its alpine landscapes, hiking trails, and reservoir.
  • D. Aspe Valley
    Aspe Valley is a scenic valley in the French Pyrenees known for its rugged mountain landscapes, traditional villages, and historical sites.
  • E. Loue Valley
    Loue Valley is a picturesque river valley in eastern France known for its dramatic limestone cliffs, lush landscapes, and association with the painter Gustave Courbet.
  • 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_69ca838e78748190934d82db3104f855 completed March 30, 2026, 2:07 p.m.
NER Named-entity recognition batch_69cc61472cc081909e51b4a35a20ef43 completed April 1, 2026, 12:05 a.m.
NED1 Entity disambiguation (via context triple) batch_69cfabaf57b88190a71d5303767ab517 completed April 3, 2026, 11:59 a.m.
Created at: March 30, 2026, 6:52 p.m.