Triple

T4427763
Position Surface form Disambiguated ID Type / Status
Subject Lake Thun E95249 entity
Predicate nearSettlement P3883 FINISHED
Object Oberhofen am Thunersee E331589 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: Oberhofen am Thunersee | Statement: [Lake Thun, nearSettlement, Oberhofen am Thunersee]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Oberhofen am Thunersee
Context triple: [Lake Thun, nearSettlement, Oberhofen am Thunersee]
  • A. Oberhofen am Thunersee, Switzerland chosen
    Oberhofen am Thunersee is a picturesque Swiss lakeside municipality in the canton of Bern, known for its scenic setting on Lake Thun and its historic castle.
  • B. Niederried bei Interlaken
    Niederried bei Interlaken is a small Swiss lakeside municipality in the canton of Bern, situated near the resort town of Interlaken on the northern shore of Lake Brienz.
  • C. Göschenen
    Göschenen is a Swiss mountain village and railway junction in the canton of Uri, known as a gateway to the Gotthard region.
  • D. Küsnacht
    Küsnacht is a picturesque Swiss municipality on the shores of Lake Zurich, known for its affluent residential character and scenic lakeside setting.
  • E. Kandersteg
    Kandersteg is a Swiss mountain village and popular tourist resort known for its scenic alpine landscapes, hiking trails, and access to Lake Oeschinen.
  • 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_69b3453c2a0c8190926b574c90766db9 completed March 12, 2026, 10:59 p.m.
NER Named-entity recognition batch_69b355674d5481908bf2dfd611f3520f completed March 13, 2026, 12:08 a.m.
NED1 Entity disambiguation (via context triple) batch_69b6136ac9c081908780783a27f66474 completed March 15, 2026, 2:03 a.m.
Created at: March 12, 2026, 11:30 p.m.