Triple

T8962260
Position Surface form Disambiguated ID Type / Status
Subject Landkreis Neu-Ulm E214034 entity
Predicate hasRiver P165 FINISHED
Object Iller E197465 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: Iller | Statement: [Landkreis Neu-Ulm, hasRiver, Iller]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Iller
Context triple: [Landkreis Neu-Ulm, hasRiver, Iller]
  • A. Iller chosen
    The Iller is a river in southern Germany that flows through Bavaria and Baden-Württemberg before joining the Danube.
  • B. Illiyyin
    Illiyyin is an exalted register in Islamic belief that records the deeds and status of the righteous in the highest realms of heaven.
  • C. Iller valley
    The Iller valley is a river valley in southern Germany shaped by the Iller River, known for its rural landscapes, small towns, and agricultural areas.
  • D. Lakelands
    Lakelands is a New Urbanist-style planned residential community in Gaithersburg, Maryland, known for its walkable streets, mixed-use design, and small-town feel.
  • E. Rock Island
    Rock Island is a small, remote island in Lake Michigan known for its state park, historic lighthouse, and rustic natural setting accessible only by boat.
  • 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_69ca839cd6008190a1546a701a56710c completed March 30, 2026, 2:07 p.m.
NER Named-entity recognition batch_69cc6749e5008190a01f42a2e772dd54 completed April 1, 2026, 12:31 a.m.
NED1 Entity disambiguation (via context triple) batch_69cfc94e088881909506b229d1fff44a completed April 3, 2026, 2:06 p.m.
Created at: March 30, 2026, 7:01 p.m.