Triple

T15719213
Position Surface form Disambiguated ID Type / Status
Subject Sihlsee dam E381044 entity
Predicate watercourse P415 FINISHED
Object Sihl 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 | Statement: [Sihlsee dam, watercourse, Sihl]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sihl
Context triple: [Sihlsee dam, watercourse, Sihl]
  • 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. Seerhein
    Seerhein is a short stretch of the Rhine River connecting the Untersee and Obersee basins of Lake Constance along the Swiss-German border.
  • C. Sihlsee
    Sihlsee is an artificial lake in the Swiss canton of Schwyz, created by damming the Sihl River and used primarily for hydroelectric power generation and recreation.
  • D. Lütschine
    The Lütschine is a river in the Bernese Oberland region of Switzerland, known for flowing through the Lauterbrunnen and Grindelwald valleys before joining the Aare near Interlaken.
  • E. River Reuss
    The River Reuss is a major Swiss river that flows from the Gotthard region through cities such as Lucerne before joining the Aare.
  • 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_69d86d9bf930819082b30cf6d169297c completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e04f932a248190b65ecfb2bc56e715 completed April 16, 2026, 2:55 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff9090e25481909f142b54ac4802f8 completed May 9, 2026, 7:52 p.m.
Created at: April 10, 2026, 4:45 a.m.