Triple
T5182080
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Itza Maya |
E116943
|
entity |
| Predicate | usedWritingSystem |
P454
|
FINISHED |
| Object | Maya script |
E153782
|
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: Maya script | Statement: [Itza Maya, usedWritingSystem, Maya script]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Maya script Context triple: [Itza Maya, usedWritingSystem, Maya script]
-
A.
Maya script
chosen
Maya script is the complex logosyllabic writing system of the ancient Maya, used to record their history, rituals, astronomy, and royal lineages on monuments, codices, and artifacts.
-
B.
Autodesk Maya
Autodesk Maya is a professional 3D computer graphics application widely used in film, television, and game development for modeling, animation, simulation, and rendering.
-
C.
BrainScript
BrainScript is a domain-specific scripting language developed for defining and training neural networks within the Microsoft Cognitive Toolkit (CNTK).
-
D.
Mayavi
Mayavi is a 3D scientific data visualization library for Python, widely used for interactive plotting and analysis of complex numerical data.
-
E.
ExtendScript
ExtendScript is Adobe's JavaScript-based scripting language used to automate and extend functionality across Creative Cloud applications like After Effects and Photoshop.
- 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_69bd446140f08190becb93c61158f27f |
completed | March 20, 2026, 12:58 p.m. |
| NER | Named-entity recognition | batch_69bd799bc58c819098a8e91e21baaef4 |
completed | March 20, 2026, 4:45 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69bed959004c81908e28156aae15bee6 |
completed | March 21, 2026, 5:46 p.m. |
Created at: March 20, 2026, 1:45 p.m.