Triple
T7632408
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Chaac |
E172787
|
entity |
| Predicate | ritualsIncluded |
P26551
|
FINISHED |
| Object | offerings of food |
—
|
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: offerings of food | Statement: [Chaac, ritualsIncluded, offerings of food]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: ritualsIncluded Context triple: [Chaac, ritualsIncluded, offerings of food]
-
A.
hasRituals
Indicates that one entity performs, observes, or is associated with specific rituals in relation to another entity or context.
-
B.
hasRitual
Indicates that an entity performs, observes, or is associated with a specific ritual or ceremonial practice.
-
C.
ritualActivities
Indicates that one entity engages in, performs, or is associated with ritualistic or ceremonial activities in relation to another entity or context.
-
D.
hasRitualElements
Indicates that one entity incorporates, contains, or is characterized by ritualistic components, practices, or features associated with formalized ceremonies or rites.
-
E.
partOfRitual
chosen
Indicates that an action, object, or event is included as a component or step within a larger ritual.
- 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_69c69952849881908fdcea7a93bfc307 |
completed | March 27, 2026, 2:50 p.m. |
| NER | Named-entity recognition | batch_69c6faa5f4f08190a7e5259a1b6fb576 |
completed | March 27, 2026, 9:46 p.m. |
| PD | Predicate disambiguation | batch_69c6f4e8cadc8190b7977fcd213954dd |
completed | March 27, 2026, 9:21 p.m. |
Created at: March 27, 2026, 3:57 p.m.