Triple

T66801
Position Surface form Disambiguated ID Type / Status
Subject UNESCO World Heritage Site E1331 entity
Predicate hasConservationTool P3047 FINISHED
Object management plan 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: management plan | Statement: [UNESCO World Heritage Site, hasConservationTool, management plan]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasConservationTool
Context triple: [UNESCO World Heritage Site, hasConservationTool, management plan]
  • A. hasCheckAndBalanceWith
    Indicates that two entities mutually monitor, limit, or counterbalance each other's powers or actions to prevent dominance or abuse.
  • B. conservationStatus
    Indicates the level of risk or protection category assigned to an entity, typically reflecting how threatened it is with extinction or decline.
  • C. hasTechnique chosen
    Indicates that an entity employs, utilizes, or is associated with a particular method, procedure, or technique.
  • D. hasCheckAndBalanceFunction
    Indicates that one entity performs a checking or limiting role on another entity’s powers, providing oversight and balance within a system.
  • E. hasProtectedAreaStatus
    Indicates that an area is officially designated and managed as a protected area under relevant conservation or legal frameworks.
  • 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_69a24ba4f760819081f6638a3c70538a completed Feb. 28, 2026, 1:57 a.m.
NER Named-entity recognition batch_69a2509b5a088190bb9d2b650aeb8bca completed Feb. 28, 2026, 2:19 a.m.
PD Predicate disambiguation batch_69a24ea749788190bc17865171ff909a completed Feb. 28, 2026, 2:10 a.m.
Created at: Feb. 28, 2026, 2:02 a.m.