Triple
T28500867
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | De'ang |
E721224
|
entity |
| Predicate | teaCultureSignificance |
P84689
|
FINISHED |
| Object | tea used in rituals and social 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: tea used in rituals and social exchange | Statement: [De'ang, teaCultureSignificance, tea used in rituals and social exchange]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: teaCultureSignificance Context triple: [De'ang, teaCultureSignificance, tea used in rituals and social exchange]
-
A.
teaCulture
chosen
Indicates the relationship in which practices, rituals, and social norms surrounding the preparation and consumption of tea are shared, expressed, or maintained.
-
B.
coffeeSymbolizes
Indicates that coffee is used as a symbol or representation of a particular idea, feeling, or concept.
-
C.
teaCategory
Indicates that one item is classified as belonging to a particular category or type of tea.
-
D.
teaType
Indicates the specific variety or category of tea associated with an entity.
-
E.
teaIndustryDevelopedUnder
Indicates that the tea industry grew, expanded, or was significantly shaped under the influence, control, or conditions provided by a particular authority, period, or context.
- 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_69f01a5afdac8190ac6e72d5c100bd58 |
completed | April 28, 2026, 2:24 a.m. |
| NER | Named-entity recognition | batch_69f64f43700c8190b16ba41e7a6b4809 |
completed | May 2, 2026, 7:23 p.m. |
| PD | Predicate disambiguation | batch_69f64cb0d8008190912e1430cfaf92aa |
completed | May 2, 2026, 7:12 p.m. |
Created at: April 28, 2026, 3:06 a.m.