Triple
T36929922
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Xiuhpohualli |
E913449
|
entity |
| Predicate | hasSpecialPeriod |
P32672
|
FINISHED |
| Object | nemontemi |
—
|
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: nemontemi | Statement: [Xiuhpohualli, hasSpecialPeriod, nemontemi]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasSpecialPeriod Context triple: [Xiuhpohualli, hasSpecialPeriod, nemontemi]
-
A.
hasSpecialYear
Indicates that an entity is associated with a particular year that is distinguished or treated as exceptional in some defined context.
-
B.
hasRecurringSpecial
Indicates that an entity regularly offers or features a special deal, item, or promotion that recurs over time.
-
C.
hasSpecial
chosen
Indicates that an entity possesses or is associated with a distinctive or exceptional attribute, status, or feature compared to others.
-
D.
hasPeriods
Indicates that an entity experiences or is characterized by recurring menstrual cycles.
-
E.
hasMainPeriod
Indicates that something is associated with or characterized by a primary or most significant time period.
- 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_69feced53a7c819098ec474fb7d514b0 |
completed | May 9, 2026, 6:06 a.m. |
| PD | Predicate disambiguation | batch_69fecd9cd5288190aac8b4e04a7ee78e |
completed | May 9, 2026, 6:01 a.m. |
Created at: May 3, 2026, 4:13 p.m.