Triple
T28500157
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Three Courses of Tea ceremony |
E721209
|
entity |
| Predicate | hasRitualSequence |
P175236
|
FINISHED |
| Object | three successive servings of tea |
—
|
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: three successive servings of tea | Statement: [Three Courses of Tea ceremony, hasRitualSequence, three successive servings of tea]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasRitualSequence Context triple: [Three Courses of Tea ceremony, hasRitualSequence, three successive servings of tea]
-
A.
hasRitual
Indicates that an entity performs, observes, or is associated with a specific ritual or ceremonial practice.
-
B.
hasRitualStage
Indicates that something is associated with, or occurs during, a particular stage within a ritual process.
-
C.
hasRituals
Indicates that one entity performs, observes, or is associated with specific rituals in relation to another entity or context.
-
D.
hasRitualSystem
Indicates that an entity possesses or is associated with a structured set of rituals or ceremonial practices.
-
E.
hasRitualRule
Indicates that an entity is governed by, or associated with, a specific ritual rule or prescribed ceremonial guideline.
- 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_69f01a5afdac8190ac6e72d5c100bd58 |
completed | April 28, 2026, 2:24 a.m. |
| NER | Named-entity recognition | batch_69f6cee547108190ad3bc84297d8f516 |
completed | May 3, 2026, 4:28 a.m. |
| PD | Predicate disambiguation | batch_69f6cc1188708190b8f0f56e595e6057 |
completed | May 3, 2026, 4:16 a.m. |
| PDg | Predicate description generation | batch_69f6cee3604c81908a07eade2f39064e |
completed | May 3, 2026, 4:28 a.m. |
Created at: April 28, 2026, 3:06 a.m.