Triple
T24091426
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Araweté |
E596793
|
entity |
| Predicate | hasShamans |
P155046
|
FINISHED |
| Object | yes |
—
|
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: yes | Statement: [Araweté, hasShamans, yes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasShamans Context triple: [Araweté, hasShamans, yes]
-
A.
hasTotem
Indicates that one entity possesses, is symbolically represented by, or is associated with another entity as its totem.
-
B.
hasHorsemen
Indicates that an entity possesses, is accompanied by, or is associated with one or more horsemen.
-
C.
hasRituals
Indicates that one entity performs, observes, or is associated with specific rituals in relation to another entity or context.
-
D.
hasSacredSymbol
Indicates that one entity serves as a sacred or religiously significant symbol associated with another entity.
-
E.
hasRitualCustodian
Indicates that one entity serves as the designated custodian or caretaker responsible for performing, preserving, or overseeing the rituals associated with another entity.
- 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_69e288c4638c81909bacc28a1e3d436b |
completed | April 17, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69f1dc2e672c8190b3e4be041835cc27 |
completed | April 29, 2026, 10:23 a.m. |
| PD | Predicate disambiguation | batch_69f17651458c8190bbfd301883e46085 |
completed | April 29, 2026, 3:09 a.m. |
| PDg | Predicate description generation | batch_69f17b58012c81909106b332db399023 |
completed | April 29, 2026, 3:30 a.m. |
Created at: April 17, 2026, 10:53 p.m.