Triple
T16731569
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Macartney Embassy of 1793 |
E406603
|
entity |
| Predicate | ceremonialIssue |
P124422
|
FINISHED |
| Object | kowtow controversy |
—
|
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: kowtow controversy | Statement: [Macartney Embassy of 1793, ceremonialIssue, kowtow controversy]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: ceremonialIssue Context triple: [Macartney Embassy of 1793, ceremonialIssue, kowtow controversy]
-
A.
ceremonialStatus
Indicates the formal or symbolic standing an entity holds within a ritual, tradition, or official ceremony.
-
B.
ceremonialUse
Indicates that something is used in a ritual, religious, or formal ceremony rather than for ordinary or practical purposes.
-
C.
ceremonialAssociation
Indicates a relationship where entities are linked through participation in, role within, or connection to a formal ceremony or ritual event.
-
D.
isCeremonial
Indicates that something is associated with, intended for, or used in a formal ceremony or ritual rather than for ordinary or practical purposes.
-
E.
ceremonialSymbol
Indicates that one entity serves as a symbol used in a formal or ritual ceremony for another entity or concept.
- 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_69d8838f242881908abd8bc138795886 |
completed | April 10, 2026, 4:58 a.m. |
| NER | Named-entity recognition | batch_69e39c362bb88190921fab43d76c3ee8 |
completed | April 18, 2026, 2:59 p.m. |
| PD | Predicate disambiguation | batch_69e319c807788190901250ab6e0ca55f |
completed | April 18, 2026, 5:42 a.m. |
| PDg | Predicate description generation | batch_69e326b9e84881909a9166e65bd850d6 |
completed | April 18, 2026, 6:37 a.m. |
Created at: April 10, 2026, 5:20 a.m.