Triple

T7145520
Position Surface form Disambiguated ID Type / Status
Subject Lakeshore Trail E166554 entity
Predicate traversesEcosystem P54308 FINISHED
Object northern hardwood forest 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: northern hardwood forest | Statement: [Lakeshore Trail, traversesEcosystem, northern hardwood forest]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: traversesEcosystem
Context triple: [Lakeshore Trail, traversesEcosystem, northern hardwood forest]
  • A. containsEcosystem
    Indicates that one entity encompasses or includes an ecosystem within its boundaries or scope.
  • B. targetsEcosystem
    Indicates that an action, product, or policy is directed toward, affects, or is specifically intended for a particular ecosystem.
  • C. partOfEcosystem
    Indicates that an entity functions as a component within a larger ecological system, contributing to and affected by its interactions and processes.
  • D. operatesInEcosystem chosen
    Indicates that an entity functions, behaves, or carries out its activities within a particular ecosystem or environmental context.
  • E. featuresEcosystem
    Indicates that an entity includes, supports, or is characterized by a particular ecosystem of related components, services, or participants.
  • 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_69c6888579d481909e05a8d6b81bf733 completed March 27, 2026, 1:39 p.m.
NER Named-entity recognition batch_69c6e7d3c48c8190a71a61a1d50cd7da completed March 27, 2026, 8:25 p.m.
PD Predicate disambiguation batch_69c6e1c932888190b125ca3785b18553 completed March 27, 2026, 8 p.m.
Created at: March 27, 2026, 2:46 p.m.