Triple
T1350784
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mayan languages |
E28875
|
entity |
| Predicate | hasWritingSystem |
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: [Mayan languages, hasWritingSystem, Maya script]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Maya script Context triple: [Mayan languages, hasWritingSystem, 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.
Muhaqqaq script
Muhaqqaq script is a majestic, elongated style of Islamic calligraphy historically favored for large Qur’anic manuscripts and monumental inscriptions.
-
C.
RenderMan
RenderMan is a high-quality 3D rendering software and standard widely used in the film industry for producing photorealistic visual effects and animation.
-
D.
Kulitan script
Kulitan script is an indigenous Philippine writing system traditionally used by the Kapampangan people and now revived as a symbol of their cultural identity.
-
E.
Jython
Jython is an implementation of the Python programming language that runs on the Java platform and allows seamless integration with Java code and libraries.
- 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_69a498571d248190a0ac9eb02d97097f |
completed | March 1, 2026, 7:49 p.m. |
| NER | Named-entity recognition | batch_69a4c26981d081909ca3b8d8cdf7cf2e |
completed | March 1, 2026, 10:49 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69acce6a1dd48190b17ac5a7cf3ab933 |
completed | March 8, 2026, 1:18 a.m. |
Created at: March 1, 2026, 7:56 p.m.