Triple
T2175220
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | GML |
E48510
|
entity |
| Predicate | hasVersion |
P455
|
FINISHED |
| Object | GML 3.3 |
E48510
|
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: GML 3.3 | Statement: [GML, hasVersion, GML 3.3]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: GML 3.3 Context triple: [GML, hasVersion, GML 3.3]
-
A.
GML
chosen
GML (Geography Markup Language) is an XML-based standard developed by the Open Geospatial Consortium for modeling, transporting, and storing geographic information and spatial features.
-
B.
GROM
GROM is Poland’s elite special operations unit renowned for high-risk counterterrorism, hostage rescue, and unconventional warfare missions.
-
C.
GDB
GDB is a powerful open-source debugger from the GNU Project used to analyze and control the execution of programs written in languages like C, C++, and Fortran.
-
D.
G3
G3 is the IATA airline designator assigned to the Brazilian low-cost carrier GOL Linhas Aéreas Inteligentes.
-
E.
GEM (Graphics Environment Manager)
GEM (Graphics Environment Manager) is a graphical user interface and desktop environment developed by Digital Research in the 1980s, best known for providing the windowed GUI on Atari ST computers.
- 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_69abbece30888190936853740ff6cb02 |
completed | March 7, 2026, 5:59 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ae7ef6b5988190a50e7c807756347e |
completed | March 9, 2026, 8:04 a.m. |
Created at: March 4, 2026, 7:45 p.m.