Triple

T20960110
Position Surface form Disambiguated ID Type / Status
Subject Merwin Dam E516215 entity
Predicate reservoirShorelineUse P20797 FINISHED
Object camping 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: camping | Statement: [Merwin Dam, reservoirShorelineUse, camping]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: reservoirShorelineUse
Context triple: [Merwin Dam, reservoirShorelineUse, camping]
  • A. hasShorelineUse chosen
    Indicates that a geographic area or property is used for a particular type of activity or purpose along its shoreline.
  • B. reservoirUse
    Indicates the way a reservoir is utilized or the purpose for which its stored water is used.
  • C. hasWaterfrontUse
    Indicates that an entity is used, designated, or suitable for activities or purposes directly related to a waterfront or shoreline area.
  • D. hasShorelineUseRestrictions
    Indicates that there are specific rules or limitations governing how the shoreline area associated with an entity may be used or developed.
  • E. basinUse
    Indicates that a basin is used for a particular purpose, activity, or function.
  • 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_69e0b4fde6c48190af1398e7e734629e completed April 16, 2026, 10:07 a.m.
NER Named-entity recognition batch_69e6fb6e50988190a564d2aaf1a9bc54 completed April 21, 2026, 4:22 a.m.
PD Predicate disambiguation batch_69e5c9b1bae48190a845165fed1b005e completed April 20, 2026, 6:37 a.m.
Created at: April 16, 2026, 1:30 p.m.