Triple

T7624534
Position Surface form Disambiguated ID Type / Status
Subject Erft River E172592 entity
Predicate sourceRegion P410 FINISHED
Object Eifel E457622 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: Eifel | Statement: [Erft River, sourceRegion, Eifel]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Eifel
Context triple: [Erft River, sourceRegion, Eifel]
  • A. Eifel Mountains
    The Eifel Mountains are a low mountain range in western Germany and eastern Belgium, known for their volcanic landscapes, dense forests, and picturesque villages.
  • B. Eifel region chosen
    The Eifel region is a low mountain range in western Germany known for its volcanic landscapes, forests, and picturesque villages, spanning parts of Rhineland-Palatinate and North Rhine-Westphalia.
  • C. Hegau
    Hegau is a volcanic landscape and historical region in southwestern Germany, known for its distinctive extinct volcanoes and medieval castle ruins near Lake Constance.
  • D. Sauerland
    Sauerland is a hilly, forested region in western Germany known for its reservoirs, outdoor recreation, and winter sports areas.
  • E. Steigerwald
    Steigerwald is a forested hill range and nature area in northern Bavaria, Germany, known for its beech forests, vineyards, and traditional Franconian landscapes.
  • 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_69c699517e348190bd3348b6889200f2 completed March 27, 2026, 2:50 p.m.
NER Named-entity recognition batch_69c6fa6648608190a9203b98b76209aa completed March 27, 2026, 9:45 p.m.
NED1 Entity disambiguation (via context triple) batch_69c870a00f8c8190935ee9b3054ada90 completed March 29, 2026, 12:21 a.m.
Created at: March 27, 2026, 3:56 p.m.