Triple

T37939465
Position Surface form Disambiguated ID Type / Status
Subject Sooretama E946443 entity
Predicate hasProtectedAreaTypeNearby P96189 FINISHED
Object biological reserve 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: biological reserve | Statement: [Sooretama, hasProtectedAreaTypeNearby, biological reserve]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasProtectedAreaTypeNearby
Context triple: [Sooretama, hasProtectedAreaTypeNearby, biological reserve]
  • A. hasProtectedAreasNearby chosen
    Indicates that an entity is located close to one or more designated protected or conservation areas.
  • B. hasNeighbouringProtectedArea
    Indicates that one protected area is directly adjacent to or shares a boundary with another protected area.
  • C. isInProtectedAreaVicinity
    Indicates that an entity is located close to, but not necessarily within, a designated protected area.
  • D. hasProtectedArea
    Indicates that an entity possesses, includes, or is associated with a designated protected area for conservation or restricted use.
  • E. isProtectedAreaOf
    Indicates that a designated protected area (such as a park or reserve) is established to conserve and manage a specific geographic region or natural 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_69f76ef531ac8190ae6d99e5786e76ec completed May 3, 2026, 3:51 p.m.
NER Named-entity recognition batch_6a037c903be48190a2fafa53d7d50d42 completed May 12, 2026, 7:16 p.m.
PD Predicate disambiguation batch_6a037a192a008190a9917688a9e804f4 completed May 12, 2026, 7:06 p.m.
Created at: May 3, 2026, 4:20 p.m.