Triple
T6561190
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Maya numerals |
E153785
|
entity |
| Predicate | dotValue |
P71804
|
FINISHED |
| Object | 1 |
—
|
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: 1 | Statement: [Maya numerals, dotValue, 1]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: dotValue Context triple: [Maya numerals, dotValue, 1]
-
A.
value
Indicates that one entity possesses, represents, or corresponds to a particular quantity, quality, or assigned worth.
-
B.
valueAt
Indicates that one entity specifies the value or content associated with another entity at a particular point, position, or context.
-
C.
valueExpressed
Indicates that a particular value, opinion, or quantitative measure is articulated, represented, or made explicit by an entity or expression.
-
D.
valueOfL
Indicates that one entity represents the numerical or quantitative value associated with another entity, typically in a specific context or measurement.
-
E.
faceValueUnit
Indicates the unit of measurement in which the face value of something (such as a financial instrument or item) is expressed.
- F. None of above. chosen
Provenance (4 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. |
| PDg | Predicate description generation | batch_69c6c1b007148190b5164d6d09584cdf |
completed | March 27, 2026, 5:43 p.m. |
Created at: March 27, 2026, 1:52 p.m.