Triple

T34555011
Position Surface form Disambiguated ID Type / Status
Subject Rocky Beach E887178 entity
Predicate hasForeshoreType P13817 FINISHED
Object rocky foreshore 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: rocky foreshore | Statement: [Rocky Beach, hasForeshoreType, rocky foreshore]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasForeshoreType
Context triple: [Rocky Beach, hasForeshoreType, rocky foreshore]
  • A. hasForeshoreReserve
    Indicates that an entity possesses or is associated with a designated foreshore reserve area along a shoreline or coastal zone.
  • B. shoreType chosen
    Indicates the kind or classification of a shoreline associated with a body of water or coastal area.
  • C. propertyTypeAlongShore
    Indicates the type or classification of a property specifically in relation to its location along a shoreline.
  • D. hasShorelineUse
    Indicates that a geographic area or property is used for a particular type of activity or purpose along its shoreline.
  • E. hasShoreFeature
    Indicates that a shore or coastline possesses a specific physical or environmental feature.
  • 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_69f349cff89081908f91e0b064f4833e completed April 30, 2026, 12:23 p.m.
NER Named-entity recognition batch_69fde5d7d9548190880a9d95b8f0f66b completed May 8, 2026, 1:32 p.m.
PD Predicate disambiguation batch_69fde4e1bf9c81909754545275eccc03 completed May 8, 2026, 1:28 p.m.
Created at: May 1, 2026, 2:02 a.m.