Triple

T15815462
Position Surface form Disambiguated ID Type / Status
Subject Sihlsee E383463 entity
Predicate connectedTo P37 FINISHED
Object Sihl River E78561 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: Sihl River | Statement: [Sihlsee, connectedTo, Sihl River]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sihl River
Context triple: [Sihlsee, connectedTo, Sihl River]
  • A. Sihl River chosen
    The Sihl River is a Swiss river that flows through the canton of Zurich and joins the Limmat in the city of Zurich.
  • B. Lachen River
    The Lachen River is a Himalayan mountain river in the Indian state of Sikkim, known for its glacial origins and role in feeding the Teesta River system.
  • C. Erms river
    The Erms river is a tributary of the Neckar in Baden-Württemberg, Germany, flowing through the Swabian Jura and the district of Reutlingen.
  • D. Ticino River
    The Ticino River is a major river in Switzerland and northern Italy that flows from the Swiss Alps through Lake Maggiore before joining the Po River.
  • E. Schwechat River
    The Schwechat River is a waterway in eastern Austria that flows through Lower Austria and the town of Schwechat before joining the Danube.
  • 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_69d86da2858c819090cc8481e7207b6e completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e0c4a219508190b8588120ec415ac7 completed April 16, 2026, 11:14 a.m.
NED1 Entity disambiguation (via context triple) batch_69ffbe66d78c81908308fc16c8d4e19c completed May 9, 2026, 11:08 p.m.
Created at: April 10, 2026, 4:49 a.m.