Triple

T1384975
Position Surface form Disambiguated ID Type / Status
Subject Taylor Slough E29823 entity
Predicate environmentalType P853 FINISHED
Object wetland drainage channel 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: wetland drainage channel | Statement: [Taylor Slough, environmentalType, wetland drainage channel]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: environmentalType
Context triple: [Taylor Slough, environmentalType, wetland drainage channel]
  • A. environmentType chosen
    Indicates the kind or category of environment associated with an entity or situation.
  • B. environmentalCondition
    Indicates the state or characteristics of the surrounding physical environment that affect or describe a situation, process, or entity.
  • C. environmentalSignificance
    Indicates the importance or impact that something has on the natural environment, such as its role in conservation, degradation, or ecological balance.
  • D. environmentalConstraint
    Indicates that an entity is subject to limitations, conditions, or restrictions imposed by its surrounding physical, ecological, or environmental context.
  • E. environmentalFocus
    Indicates a relationship where an entity prioritizes or concentrates on environmental issues, impacts, or sustainability in its actions or policies.
  • 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_69a498dc92f8819094a1108f8ac90f43 completed March 1, 2026, 7:51 p.m.
NER Named-entity recognition batch_69a4c33896548190b44f70c9aaaed9b6 completed March 1, 2026, 10:52 p.m.
PD Predicate disambiguation batch_69a4befe343c81909f758440a531b5be completed March 1, 2026, 10:34 p.m.
Created at: March 1, 2026, 7:59 p.m.