Triple
T36929933
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Xiuhpohualli |
E913449
|
entity |
| Predicate | hasCycleLengthWithTonalpohualli |
P157629
|
FINISHED |
| Object | 52 years |
—
|
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: 52 years | Statement: [Xiuhpohualli, hasCycleLengthWithTonalpohualli, 52 years]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasCycleLengthWithTonalpohualli Context triple: [Xiuhpohualli, hasCycleLengthWithTonalpohualli, 52 years]
-
A.
cycleLengthWithTonalpohualli
chosen
Indicates the length of a recurring cycle as it aligns or synchronizes with the Tonalpohualli (the Mesoamerican 260-day ritual calendar).
-
B.
hasCycleLength
Indicates that an entity participates in or exhibits a cycle whose duration or size is specified by the associated length value.
-
C.
heavenlyStemsCycleLength
Indicates the length of the repeating cycle of the Heavenly Stems sequence in a calendrical or ordinal system.
-
D.
hasNumberInCycle
Indicates that a given number appears within a specified repeating sequence or cycle associated with an entity or process.
-
E.
hasRitualCalendarLength
Indicates the relationship between an entity and the specific duration or length of its ritual calendar.
- 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_69f76e896c988190880c130e01303dd4 |
completed | May 3, 2026, 3:49 p.m. |
| NER | Named-entity recognition | batch_69fa0a7b00948190a257273d9968c5d7 |
completed | May 5, 2026, 3:19 p.m. |
| PD | Predicate disambiguation | batch_69f9fec9c9488190ae2a349651a02782 |
completed | May 5, 2026, 2:29 p.m. |
Created at: May 3, 2026, 4:13 p.m.