Triple

T16156444
Position Surface form Disambiguated ID Type / Status
Subject Dietikon E392055 entity
Predicate locatedIn P40 FINISHED
Object Limmat Valley E321125 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: Limmat Valley | Statement: [Dietikon, locatedIn, Limmat Valley]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Limmat Valley
Context triple: [Dietikon, locatedIn, 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. 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.
  • D. 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.
  • E. Teme Valley
    Teme Valley is a rural river valley region in the West Midlands of England, known for its scenic landscapes, agriculture, and historic villages along the River Teme.
  • 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_69d87f1c65e48190aa2b4c472e9bafc4 completed April 10, 2026, 4:39 a.m.
NER Named-entity recognition batch_69e21e5aa57c8190a9d89dd57e30318f completed April 17, 2026, 11:49 a.m.
NED1 Entity disambiguation (via context triple) batch_69fffef4f96c8190aec3e1411c1d9471 completed May 10, 2026, 3:43 a.m.
Created at: April 10, 2026, 5:01 a.m.