Triple

T757017
Position Surface form Disambiguated ID Type / Status
Subject Ichkeul National Park E15578 entity
Predicate biosphereReserve P8675 FINISHED
Object true 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: true | Statement: [Ichkeul National Park, biosphereReserve, true]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: biosphereReserve
Context triple: [Ichkeul National Park, biosphereReserve, true]
  • A. hasUNESCOBiosphereReserve chosen
    Indicates that an entity includes, contains, or is associated with a designated UNESCO Biosphere Reserve.
  • B. hasBiosphere
    Indicates that an entity possesses or supports a biosphere, i.e., a region where living organisms and ecological processes exist.
  • C. UNESCOBiosphereReserveSince
    Indicates that an area has held the official status of a UNESCO Biosphere Reserve starting from a specified point in time.
  • D. biodiversityHotspot
    Indicates a location or region that supports exceptionally high levels of biodiversity, often with many endemic or threatened species, and is therefore considered a conservation priority.
  • E. marineProtectedArea
    Indicates that an area of marine or coastal waters is designated and managed to conserve natural resources and biodiversity, often restricting certain human activities.
  • 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_69a493599a0081908da65f3407af1ef2 completed March 1, 2026, 7:28 p.m.
NER Named-entity recognition batch_69a4a66ab4608190afcd81e6606c5116 completed March 1, 2026, 8:49 p.m.
PD Predicate disambiguation batch_69a4a50348088190873a1446db657a78 completed March 1, 2026, 8:43 p.m.
Created at: March 1, 2026, 7:37 p.m.