Triple

T20810307
Position Surface form Disambiguated ID Type / Status
Subject Regensdorf E512278 entity
Predicate region P40 FINISHED
Object Limmat Valley NE NERFINISHED

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: Limmat Valley | Statement: [Regensdorf, region, Limmat Valley]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Limmat Valley
Context triple: [Regensdorf, region, Limmat Valley]
  • A. Limmat Valley chosen
    Limmat Valley is a river valley in the Swiss canton of Zurich, shaped by the Limmat River and known for its mix of urban settlements, industry, and natural landscapes.
  • B. Zelve Valley
    Zelve Valley is a historic region in Cappadocia, Turkey, known for its striking fairy chimneys, rock-cut dwellings, and ancient cave churches.
  • C. Seetal valley
    Seetal valley is a picturesque valley region in Switzerland known for its lakes, rolling hills, and traditional Swiss villages.
  • D. Arun Valley
    Arun Valley is a scenic river valley in southern England known for its meandering River Arun, rich wildlife habitats, and picturesque countryside landscapes.
  • E. Reisa Valley
    Reisa Valley is a scenic valley in northern Norway known for its dramatic river canyon, waterfalls, and wilderness landscapes that form the core of Reisa National Park.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e0b4cd25088190b48ca9700cd24efc completed April 16, 2026, 10:07 a.m.
NER Named-entity recognition batch_69e6c2d27a4881908b34679385d8b94b completed April 21, 2026, 12:20 a.m.
Created at: April 16, 2026, 12:40 p.m.