Triple
T13114538
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tchambuli society |
E311058
|
entity |
| Predicate | hasCulturalPracticeType |
P11746
|
FINISHED |
| Object | ceremonial exchange |
—
|
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: ceremonial exchange | Statement: [Tchambuli society, hasCulturalPracticeType, ceremonial exchange]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasCulturalPracticeType Context triple: [Tchambuli society, hasCulturalPracticeType, ceremonial exchange]
-
A.
hasCulturalFeature
Indicates that an entity possesses, includes, or is characterized by a particular cultural element, attribute, or landmark.
-
B.
hasCulturalExpression
chosen
Indicates that an entity embodies, manifests, or is associated with a particular cultural form, practice, or expression.
-
C.
hasCulturalConcept
Indicates that an entity embodies, includes, or is associated with a particular cultural idea, value, practice, or construct.
-
D.
hasCulturalFacilityType
Indicates that an entity has or is associated with a specific type of cultural facility (such as a museum, theater, or gallery).
-
E.
hasCulturalSiteType
Indicates that an entity is associated with, or classified by, a specific type or category of cultural site.
- 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_69d806a872d08190a329806f8ff30df4 |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69d98180b6ac8190ae5a1f7c1480bd54 |
completed | April 10, 2026, 11:02 p.m. |
| PD | Predicate disambiguation | batch_69d98041a3548190a05ddd83dbb660fa |
completed | April 10, 2026, 10:57 p.m. |
Created at: April 9, 2026, 9:06 p.m.