Triple

T4249934
Position Surface form Disambiguated ID Type / Status
Subject Lake Brienz E95823 entity
Predicate hasPort P35 FINISHED
Object Brienz E423273 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: Brienz | Statement: [Lake Brienz, hasPort, Brienz]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Brienz
Context triple: [Lake Brienz, hasPort, Brienz]
  • A. Brienz chosen
    Brienz is a picturesque Swiss village in the Bernese Oberland, known for its lakeside setting on Lake Brienz and its traditional woodcarving craftsmanship.
  • B. Sihlwald
    Sihlwald is a large forest and nature reserve near Zurich, Switzerland, known for its protected, near-natural woodland and recreational hiking trails.
  • C. Thun
    Thun is a historic Swiss town in the canton of Bern, known for its medieval old town, lakeside setting on Lake Thun, and views of the surrounding Alps.
  • D. Breggia
    Breggia is a river in the Lombardy region of northern Italy that flows through the province of Como before entering Switzerland.
  • E. Fiesch
    Fiesch is a Swiss alpine village in the canton of Valais, known as a gateway to the Aletsch Glacier region and a base for skiing, hiking, and other mountain activities.
  • 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_69b3453f759881909b91f01a1e82c036 completed March 12, 2026, 10:59 p.m.
NER Named-entity recognition batch_69b34e9f11008190a0021e0ad730a79d completed March 12, 2026, 11:39 p.m.
NED1 Entity disambiguation (via context triple) batch_69b5b780e0dc81909e63ac4ca1dd0a76 completed March 14, 2026, 7:31 p.m.
Created at: March 12, 2026, 11:06 p.m.