Triple

T17816754
Position Surface form Disambiguated ID Type / Status
Subject Bönigen E444864 entity
Predicate hasCampingSite P77351 FINISHED
Object lakeside camping facilities LITERAL 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: lakeside camping facilities | Statement: [Bönigen, hasCampingSite, lakeside camping facilities]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasCampingSite
Context triple: [Bönigen, hasCampingSite, lakeside camping facilities]
  • A. hasCampSites chosen
    Indicates that one entity provides, contains, or is associated with one or more designated camping sites for use.
  • B. hasCampingOption
    Indicates that an entity offers or includes the possibility to camp (e.g., designated camping facilities or areas).
  • C. hasCampground
    Indicates that one entity provides, contains, or is associated with a campground facility or area for another entity.
  • D. hasNumberOfCampsites
    Indicates the specific quantity of campsites associated with a given place, facility, or area.
  • E. hasCampingPolicy
    Indicates that an entity specifies rules, restrictions, or guidelines regarding camping activities on its premises or within its jurisdiction.
  • F. None of above.

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_69d8b9f0de78819099395b14db75a8a6 completed April 10, 2026, 8:50 a.m.
NER Named-entity recognition batch_69e48880457c81908214741d6cd7a1ee completed April 19, 2026, 7:47 a.m.
PD Predicate disambiguation batch_69e3d8de28688190844b65acf6af54e6 completed April 18, 2026, 7:17 p.m.
Created at: April 10, 2026, 10:14 a.m.