Triple
T6561213
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Maya numerals |
E153785
|
entity |
| Predicate | representationMethod |
P21655
|
FINISHED |
| Object | additive within each place |
—
|
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: additive within each place | Statement: [Maya numerals, representationMethod, additive within each place]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: representationMethod Context triple: [Maya numerals, representationMethod, additive within each place]
-
A.
representationType
chosen
Indicates the specific form or mode in which something is represented or expressed (e.g., as a symbol, image, model, or description).
-
B.
representation
Indicates that one entity stands in for, symbolizes, or depicts another entity in some context.
-
C.
representationDependsOn
Indicates that one representation is reliant on or derived from another representation in order to be valid, complete, or interpretable.
-
D.
representationFocus
Indicates that the primary emphasis or attention in a representation is placed on a particular aspect, element, or subject within it.
-
E.
representationBegins
Indicates that the act or state of representing something starts or comes into effect at a particular point in time.
- 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.