Triple

T17561246
Position Surface form Disambiguated ID Type / Status
Subject ST_Within E427698 entity
Predicate libraryDependency P55137 FINISHED
Object GEOS NE NERFINISHED

How this triple was built (3 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: GEOS | Statement: [ST_Within, libraryDependency, GEOS]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: GEOS
Context triple: [ST_Within, libraryDependency, GEOS]
  • A. GEOS chosen
    GEOS is an open-source C++ geometry engine library that provides spatial operations and topological functions for geographic information systems and related applications.
  • B. e-GEOS
    e-GEOS is an Italian geospatial services company specializing in Earth observation, satellite imagery, and related data analytics solutions.
  • C. GEOS-IT
    GEOS-IT is a specific version of NASA’s Goddard Earth Observing System model designed for advanced atmospheric and Earth system simulations.
  • D. GEOS-FP
    GEOS-FP is a high-resolution, near-real-time atmospheric data assimilation and forecasting system produced by NASA’s Goddard Earth Observing System modeling framework.
  • E. GEOSS
    GEOSS is a global, coordinated system of Earth observation systems designed to provide comprehensive environmental data and information to support science-based decision-making and sustainable development.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: libraryDependency
Context triple: [ST_Within, libraryDependency, GEOS]
  • A. kernelDependsOn
    Indicates that one kernel or core software component requires another kernel or component to be present or available in order to function correctly.
  • B. hasDependency
    Indicates that one entity relies on or requires another entity in order to function, exist, or be fulfilled.
  • C. dependencyModel
    Indicates a relationship where one entity relies on, is conditioned by, or is structured according to another entity within a dependency framework or model.
  • D. dependency
    Indicates that one entity relies on, is conditioned by, or cannot function or exist properly without another entity.
  • E. relatedLibrary chosen
    Indicates that one library has a meaningful connection or association with another library, such as dependency, compatibility, or functional similarity.
  • 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_69d889e0385081908a04b66f4dd4bd0d completed April 10, 2026, 5:25 a.m.
NER Named-entity recognition batch_69e456267e208190a1238fbe1a535bb0 completed April 19, 2026, 4:12 a.m.
PD Predicate disambiguation batch_69e3b4fb39948190a82a597c5bac5c57 completed April 18, 2026, 4:44 p.m.
Created at: April 10, 2026, 5:50 a.m.