Triple

T5076270
Position Surface form Disambiguated ID Type / Status
Subject Breich Water E114403 entity
Predicate hasEcologicalContext P25102 FINISHED
Object freshwater ecosystem 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: freshwater ecosystem | Statement: [Breich Water, hasEcologicalContext, freshwater ecosystem]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasEcologicalContext
Context triple: [Breich Water, hasEcologicalContext, freshwater ecosystem]
  • A. hasEcology chosen
    Indicates that an entity has a particular ecological context, such as its habitat, environmental role, or interactions within an ecosystem.
  • B. containsEcologicalTypes
    Indicates that one entity includes or encompasses specific ecological types or categories within it.
  • C. ecologicalStatus
    Indicates the condition or health of an ecosystem or environment, often in terms of its quality, integrity, or degree of disturbance.
  • D. ecologicalSensitivity
    Indicates how strongly an entity or area is affected by, or responsive to, changes or disturbances in its surrounding ecological conditions.
  • E. hasEcosystemService
    Indicates that one entity provides, supports, or is associated with an ecosystem service that benefits another entity or the environment.
  • 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_69bd443dbf908190a9401e9c2dc7bd7d completed March 20, 2026, 12:57 p.m.
NER Named-entity recognition batch_69bd74d3b0088190a658864cb120eef4 completed March 20, 2026, 4:24 p.m.
PD Predicate disambiguation batch_69bd7157fe608190b4515d56fdd0a616 completed March 20, 2026, 4:10 p.m.
Created at: March 20, 2026, 1:39 p.m.