Triple
T23884463
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Long Count |
E600289
|
entity |
| Predicate | 2012CycleDateCorrelation |
P153942
|
FINISHED |
| Object | December 21, 2012 (GMT correlation) |
—
|
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: December 21, 2012 (GMT correlation) | Statement: [Long Count, 2012CycleDateCorrelation, December 21, 2012 (GMT correlation)]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: 2012CycleDateCorrelation Context triple: [Long Count, 2012CycleDateCorrelation, December 21, 2012 (GMT correlation)]
-
A.
basedOnCycle
Indicates a relationship where one process, event, or state is determined by, derived from, or structured around a repeating cycle.
-
B.
savesIn2012
Indicates that one entity performed a save action involving another entity during the year 2012.
-
C.
occursInYearsOfCycle
Indicates that an event or phenomenon takes place during specific years within a recurring multi-year cycle.
-
D.
recentCycle
Indicates that the referenced event, process, or cycle occurred in the most recent iteration or time period relative to the current context.
-
E.
pairedCycle
Indicates a relationship where two cycles are associated or matched together as corresponding counterparts.
- 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.