Triple
T10330132
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | WMS |
E242851
|
entity |
| Predicate | typicalServerImplementation |
P74636
|
FINISHED |
| Object | MapServer |
E427696
|
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: MapServer | Statement: [WMS, typicalServerImplementation, MapServer]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: MapServer Context triple: [WMS, typicalServerImplementation, MapServer]
-
A.
MapServer
chosen
MapServer is an open-source platform for publishing spatial data and interactive mapping applications on the web.
-
B.
MapInfo Professional
MapInfo Professional is a desktop geographic information system (GIS) software application used for mapping, spatial analysis, and visualization of geographic data.
-
C.
Maps Platform Maps Library
Maps Platform Maps Library is a JavaScript library from Google that lets developers embed and customize interactive Google Maps within their web applications.
-
D.
MapKit
MapKit is an Apple framework that enables developers to embed interactive maps and location-based features into their iOS, macOS, watchOS, and tvOS applications.
-
E.
Bing Maps
Bing Maps is Microsoft's web-based mapping and navigation service offering road maps, aerial imagery, directions, and location-based search.
- 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_69d4dfc1b0488190ac04da58a4987da0 |
completed | April 7, 2026, 10:43 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d71dbc7df48190b8a11a92f946fd30 |
completed | April 9, 2026, 3:32 a.m. |
Created at: April 6, 2026, 11:52 a.m.