Triple

T17561082
Position Surface form Disambiguated ID Type / Status
Subject GeoServer E427695 entity
Predicate integratesWith P1075 FINISHED
Object OpenLayers 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: OpenLayers | Statement: [GeoServer, integratesWith, OpenLayers]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: OpenLayers
Context triple: [GeoServer, integratesWith, OpenLayers]
  • A. OpenLayers chosen
    OpenLayers is an open-source JavaScript library for displaying and interacting with dynamic maps and geospatial data in web browsers.
  • B. Leaflet
    Leaflet is a popular open-source JavaScript library for building interactive, mobile-friendly web maps.
  • C. OS Explorer OL3
    OS Explorer OL3 is a detailed Ordnance Survey outdoor leisure map covering the Cairngorms area, designed for walkers, climbers, and other outdoor enthusiasts.
  • D. Mapnik
    Mapnik is an open-source toolkit for rendering high-quality maps, widely used as the core map drawing engine behind OpenStreetMap and other mapping applications.
  • E. Mapbox GL JS
    Mapbox GL JS is a JavaScript library for interactive, vector-based web maps that supports dynamic styling and rendering of geographic data in the browser.
  • 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.