Triple

T36438272
Position Surface form Disambiguated ID Type / Status
Subject Bou Regreg E897650 entity
Predicate hasEstuaryUse P185502 FINISHED
Object recreation 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: recreation | Statement: [Bou Regreg, hasEstuaryUse, recreation]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasEstuaryUse
Context triple: [Bou Regreg, hasEstuaryUse, recreation]
  • A. hasEstuaryWith
    Indicates that a river or watercourse flows into and forms an estuary with a particular body of water.
  • B. hasEstuaryAt
    Indicates that a river or watercourse flows into and meets a larger body of water (such as a sea, ocean, or lake) at a specific location.
  • C. hasEstuaryType
    Indicates the specific type or classification of an estuary associated with a given water body or location.
  • D. hasEstuaryEnvironment
    Indicates that something is located in, associated with, or characterized by an estuary environment where river and marine conditions interact.
  • E. hasEstuaryNear
    Indicates that the estuary of a water body is located in close proximity to a specified place or feature.
  • F. None of above. chosen

Provenance (4 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_69f76e56636481908eda808ab0273401 completed May 3, 2026, 3:48 p.m.
NER Named-entity recognition batch_69f7be9d07ac8190adf796cbef60daf6 completed May 3, 2026, 9:31 p.m.
PD Predicate disambiguation batch_69f7bccf05bc8190b61fdb2b2a315811 completed May 3, 2026, 9:23 p.m.
PDg Predicate description generation batch_69f7be9b9ab481908328e0e8d8ac73d4 completed May 3, 2026, 9:31 p.m.
Created at: May 3, 2026, 4:10 p.m.