Triple
T6561193
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Maya numerals |
E153785
|
entity |
| Predicate | numeralsRangePerPosition |
P71805
|
FINISHED |
| Object | 0–19 |
—
|
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: 0–19 | Statement: [Maya numerals, numeralsRangePerPosition, 0–19]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: numeralsRangePerPosition Context triple: [Maya numerals, numeralsRangePerPosition, 0–19]
-
A.
numeralValueOfX
Indicates that a given numeral corresponds to, or represents, the numeric value of, the entity X.
-
B.
RomanNumeral
Indicates that something is represented or written using the Roman numeral system.
-
C.
numeralValueOfI
Indicates that an entity is the numeral (written numeric) value corresponding to the variable or quantity denoted by “i.”
-
D.
usesRomanNumerals
Indicates that something represents numbers or sequences using the Roman numeral system rather than standard Arabic digits.
-
E.
hasArabicNumeral
Indicates that an entity is associated with, represented by, or expressed using an Arabic numeral.
- 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.