Triple

T11060171
Position Surface form Disambiguated ID Type / Status
Subject MapInfo Professional E261486 entity
Predicate fileFormatSupport P8463 FINISHED
Object PostGIS E97115 NE 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: PostGIS | Statement: [MapInfo Professional, fileFormatSupport, PostGIS]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: PostGIS
Context triple: [MapInfo Professional, fileFormatSupport, PostGIS]
  • A. PostGIS chosen
    PostGIS is an open-source spatial database extender that adds robust geographic object support and spatial querying capabilities to PostgreSQL.
  • B. SpatiaLite
    SpatiaLite is an open-source spatial extension to the SQLite database engine that adds support for storing and querying geospatial data.
  • C. Oracle Spatial
    Oracle Spatial is an extension to the Oracle Database that provides advanced spatial data storage, indexing, and analysis capabilities for geographic information systems and location-based applications.
  • D. cuSpatial
    cuSpatial is a GPU-accelerated spatial and GIS analytics library within NVIDIA RAPIDS designed to perform high-performance geospatial data processing.
  • E. Oracle Spatial and Graph stack
    Oracle Spatial and Graph stack is an Oracle Database feature set that provides advanced spatial data management, geospatial analytics, and graph processing capabilities for building location-aware and network-centric applications.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

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_69d6aa98650481908609c7c56bfa7902 completed April 8, 2026, 7:20 p.m.
NER Named-entity recognition batch_69d798e991848190b07c2f48dae38681 completed April 9, 2026, 12:17 p.m.
NED1 Entity disambiguation (via context triple) batch_69e42d6070248190adb8e74daff09f83 completed April 19, 2026, 1:18 a.m.
Created at: April 8, 2026, 9:26 p.m.