Triple

T952445
Position Surface form Disambiguated ID Type / Status
Subject Stanmore Common E20551 entity
Predicate hasEcologicalValue P8849 FINISHED
Object biodiversity hotspot 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: biodiversity hotspot | Statement: [Stanmore Common, hasEcologicalValue, biodiversity hotspot]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasEcologicalValue
Context triple: [Stanmore Common, hasEcologicalValue, biodiversity hotspot]
  • A. ecologicalStatus
    Indicates the condition or health of an ecosystem or environment, often in terms of its quality, integrity, or degree of disturbance.
  • B. hasEcosystemService
    Indicates that one entity provides, supports, or is associated with an ecosystem service that benefits another entity or the environment.
  • C. conservationValue chosen
    Indicates the degree to which something is considered important or valuable for conservation or protection of natural or cultural resources.
  • D. hasScenicValue
    Indicates that something possesses notable aesthetic or visual appeal, often due to its natural beauty or pleasing surroundings.
  • E. hasBiosphere
    Indicates that an entity possesses or supports a biosphere, i.e., a region where living organisms and ecological processes exist.
  • 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_69a493b0f2fc81908cd227480a5356a1 completed March 1, 2026, 7:29 p.m.
NER Named-entity recognition batch_69a4b3d757d08190a475cf47febd05ae completed March 1, 2026, 9:47 p.m.
PD Predicate disambiguation batch_69a4b2a045308190ab94f3adab40db8d completed March 1, 2026, 9:41 p.m.
Created at: March 1, 2026, 7:40 p.m.