Triple
T6561062
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Maya script |
E153782
|
entity |
| Predicate | writingSupports |
P12679
|
FINISHED |
| Object | bark-paper codices |
—
|
LITERAL 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: bark-paper codices | Statement: [Maya script, writingSupports, bark-paper codices]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: writingSupports Context triple: [Maya script, writingSupports, bark-paper codices]
-
A.
writesLanguage
Indicates that an entity produces written content in a particular language.
-
B.
writingForm
Indicates the specific script, notation, or written representation used to express a piece of language or content.
-
C.
writingTool
Indicates that one entity serves as a tool or instrument used by another entity for the act of writing.
-
D.
canBeWrittenIn
chosen
Indicates that something is capable of being expressed, encoded, or represented using a particular language, notation, or medium.
-
E.
writingSystemFeatures
Indicates the specific structural or functional characteristics that define how a particular writing system represents language.
- F. None of above.
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_69c6880cb35881909b763eb0125236b9 |
completed | March 27, 2026, 1:37 p.m. |
| NER | Named-entity recognition | batch_69c6c1b15d3481908ae66e3d7564b352 |
completed | March 27, 2026, 5:43 p.m. |
| PD | Predicate disambiguation | batch_69c6acf6d4148190914b19e9affd8c76 |
completed | March 27, 2026, 4:14 p.m. |
Created at: March 27, 2026, 1:52 p.m.