Triple
T3427017
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Google Earth |
E72249
|
entity |
| Predicate | supportsFormat |
P203
|
FINISHED |
| Object | KML |
E242853
|
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: KML | Statement: [Google Earth, supportsFormat, KML]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: KML Context triple: [Google Earth, supportsFormat, KML]
-
A.
KML
chosen
KML (Keyhole Markup Language) is an XML-based file format used to display geographic data and annotations in mapping applications such as Google Earth and Google Maps.
-
B.
Geography Markup Language
Geography Markup Language is an XML-based standard developed by the Open Geospatial Consortium for modeling, storing, and exchanging geographic information and spatial features.
-
C.
MapInfo Professional
MapInfo Professional is a desktop geographic information system (GIS) software application used for mapping, spatial analysis, and visualization of geographic data.
-
D.
Google Earth
Google Earth is a virtual globe and mapping application that lets users explore detailed satellite imagery, 3D terrain, and geographic information for locations around the world.
-
E.
CityGML
CityGML is an open data model and XML-based format for storing and exchanging 3D city and landscape models, widely used in urban planning, simulation, and 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_69ad85ae14308190bcbc25cfa0246c0b |
completed | March 8, 2026, 2:20 p.m. |
| NER | Named-entity recognition | batch_69adb982792c8190b1163eee4252210f |
completed | March 8, 2026, 6:01 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b35478448481908e1c0f717d99f992 |
completed | March 13, 2026, 12:04 a.m. |
Created at: March 8, 2026, 3:15 p.m.