Triple
T6561095
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tzolkʼin calendar |
E153783
|
entity |
| Predicate | repeatsEvery |
P7174
|
FINISHED |
| Object | 260 days |
—
|
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: 260 days | Statement: [Tzolkʼin calendar, repeatsEvery, 260 days]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: repeatsEvery Context triple: [Tzolkʼin calendar, repeatsEvery, 260 days]
-
A.
repetitionOf
Indicates that one entity is a repeated occurrence or instance of another entity, preserving the same content or pattern.
-
B.
occursEvery
chosen
Indicates that an event or action happens repeatedly at regular, specified intervals.
-
C.
recurringDuring
Indicates that an event or state happens repeatedly within the time span or context defined by another event or interval.
-
D.
repetitionPattern
Indicates a recurring structure or sequence in which an action, event, or element is repeated over time or across instances.
-
E.
repetitionCount
Indicates the number of times a particular event, action, or pattern is repeated within a given context.
- 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.