Triple

T5247191
Position Surface form Disambiguated ID Type / Status
Subject Limmat River E118490 entity
Predicate hasTributary P415 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: [Limmat River, hasTributary, Sihl River]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sihl River
Context triple: [Limmat River, hasTributary, 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. 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.
  • D. Colagne River
    The Colagne River is a small river in southern France that flows through the Lozère department, including the town of Marvejols, before joining the Lot River.
  • E. Isar River
    The Isar River is a major river in Austria and Germany that flows through the Alps and the city of Munich 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_69bd4468aacc8190a8196f71855cdf4f completed March 20, 2026, 12:58 p.m.
NER Named-entity recognition batch_69bd7b5320748190bcf3be4b6c364f92 completed March 20, 2026, 4:52 p.m.
NED1 Entity disambiguation (via context triple) batch_69bef836d158819092cdd22e0dbc9dae completed March 21, 2026, 7:57 p.m.
Created at: March 20, 2026, 1:50 p.m.