Triple
T2175193
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | GML |
E48510
|
entity |
| Predicate | abbreviationOf |
P590
|
FINISHED |
| Object | Geography Markup Language |
E242848
|
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: Geography Markup Language | Statement: [GML, abbreviationOf, Geography Markup Language]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Geography Markup Language Context triple: [GML, abbreviationOf, Geography Markup Language]
-
A.
Geography Markup Language
chosen
Geography Markup Language is an XML-based standard developed by the Open Geospatial Consortium for modeling, storing, and exchanging geographic information and spatial features.
-
B.
KML
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.
-
C.
Open Geospatial Consortium
The Open Geospatial Consortium is an international industry consortium that develops open standards for geospatial and location-based services and data interoperability.
-
D.
Geo
Geo is a short form of the given name Georges, often used as an informal or familiar nickname.
-
E.
SGML
SGML (Standard Generalized Markup Language) is a standardized metalanguage for defining markup languages used to structure and describe the content of electronic documents.
- 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_69a88aa3faa48190995b233af6525815 |
completed | March 4, 2026, 7:40 p.m. |
| NER | Named-entity recognition | batch_69abbeccb2888190aa1fe1039e9dfbe2 |
completed | March 7, 2026, 5:59 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ae653b6ae48190ab5c7e6bf2dcfa6f |
completed | March 9, 2026, 6:14 a.m. |
Created at: March 4, 2026, 7:45 p.m.