Triple
T23884445
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Long Count |
E600289
|
entity |
| Predicate | definesBʼakʼtun |
P153941
|
FINISHED |
| Object | 20 kʼatun (144,000 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: 20 kʼatun (144,000 days) | Statement: [Long Count, definesBʼakʼtun, 20 kʼatun (144,000 days)]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: definesBʼakʼtun Context triple: [Long Count, definesBʼakʼtun, 20 kʼatun (144,000 days)]
-
A.
basisDefinition
Indicates that one entity serves as the foundational explanation, principle, or justification upon which another entity is defined or established.
-
B.
hasRitualCalendarLength
Indicates the relationship between an entity and the specific duration or length of its ritual calendar.
-
C.
HaabʼLength
Indicates the duration or number of days that a Haabʼ calendar period (such as a month or cycle) spans.
-
D.
basingConcept
Indicates that one concept serves as the foundational basis or underlying rationale for another concept.
-
E.
earthlyBranchesCycleLength
Indicates the length of the repeating cycle formed by the sequence of earthly branches in a given calendrical or symbolic system.
- 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_69e295318e148190b9979d8fc02e168f |
completed | April 17, 2026, 8:16 p.m. |
| NER | Named-entity recognition | batch_69f1ccfbbe4c819093e590709719ab72 |
completed | April 29, 2026, 9:18 a.m. |
| PD | Predicate disambiguation | batch_69f1614e24b48190a1c8fb5b7c75ee0f |
completed | April 29, 2026, 1:39 a.m. |
| PDg | Predicate description generation | batch_69f167dca3608190ace9d2eef56b2af6 |
completed | April 29, 2026, 2:07 a.m. |
Created at: April 17, 2026, 8:24 p.m.