Triple

T10330026
Position Surface form Disambiguated ID Type / Status
Subject WFS E242850 entity
Predicate fullName P16 FINISHED
Object Web Feature Service E242850 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: Web Feature Service | Statement: [WFS, fullName, Web Feature Service]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Web Feature Service
Context triple: [WFS, fullName, Web Feature Service]
  • A. MapServer
    MapServer is an open-source platform for publishing spatial data and interactive mapping applications on the web.
  • B. Web Coverage Service
    Web Coverage Service is an Open Geospatial Consortium web service standard that enables interoperable access to multi-dimensional geospatial raster data over the internet.
  • C. WFS chosen
    WFS (Web Feature Service) is an OGC standard web service that provides access to and manipulation of geographic features over the internet in vector form.
  • D. GeoServer
    GeoServer is an open-source server application that allows users to share, process, and edit geospatial data using open standards such as WMS, WFS, and WCS.
  • E. OGC WMS
    OGC WMS (Open Geospatial Consortium Web Map Service) is a standard protocol for serving georeferenced map images over the internet from distributed geographic information systems.
  • 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_69d381af787481908bc401325c760a88 completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d4d7fb77348190ac8ff887f6f03450 completed April 7, 2026, 10:10 a.m.
NED1 Entity disambiguation (via context triple) batch_69d7504679ec8190926d2c5016653cea completed April 9, 2026, 7:07 a.m.
Created at: April 6, 2026, 11:52 a.m.