Triple

T17561276
Position Surface form Disambiguated ID Type / Status
Subject ST_Buffer E427699 entity
Predicate usesAlgorithm P89 FINISHED
Object GEOS buffer implementation NE NERFINISHED

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: GEOS buffer implementation | Statement: [ST_Buffer, usesAlgorithm, GEOS buffer implementation]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: GEOS buffer implementation
Context triple: [ST_Buffer, usesAlgorithm, GEOS buffer implementation]
  • 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. Anti-Grain Geometry
    Anti-Grain Geometry is a high-quality, open-source, platform-independent 2D graphics rendering engine known for its sub-pixel accuracy and anti-aliasing capabilities.
  • C. e-GEOS
    e-GEOS is an Italian geospatial services company specializing in Earth observation, satellite imagery, and related data analytics solutions.
  • D. Geometry Engine at SGI
    Geometry Engine at SGI was a pioneering hardware graphics subsystem developed at Silicon Graphics that accelerated 3D geometric computations and helped establish SGI’s leadership in high-performance computer graphics.
  • E. Mogul geometry library
    Mogul geometry library is a crystallographic software tool developed by the Cambridge Crystallographic Data Centre for analyzing and validating molecular geometries using data from the Cambridge Structural Database.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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.
Created at: April 10, 2026, 5:50 a.m.