Triple
T16233532
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 圜丘坛 |
E394046
|
entity |
| Predicate | 相关主题 |
P55522
|
FINISHED |
| Object | 中国古代礼制 |
—
|
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: 中国古代礼制 | Statement: [圜丘坛, 相关主题, 中国古代礼制]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: 相关主题 Context triple: [圜丘坛, 相关主题, 中国古代礼制]
-
A.
関連主題
chosen
Indicates that there exists a thematically or contextually related subject connected to the given entity.
-
B.
関連事件
Indicates a relationship where one event is connected or related to another event, typically as part of the same case, incident, or context.
-
C.
関連橋梁
Indicates a relationship in which one bridge is associated with, connected to, or otherwise related to another bridge.
-
D.
relatedTheorem
Indicates that one theorem is connected to another through a logical, thematic, or derivational relationship.
-
E.
relatedQuestion
Indicates that one question is connected to another by topic, context, or relevance, suggesting they are meaningfully associated.
- 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_69d87f204df88190a8f88923decf9835 |
completed | April 10, 2026, 4:40 a.m. |
| NER | Named-entity recognition | batch_69e23d2be2f881908ec2483507cb0b00 |
completed | April 17, 2026, 2:01 p.m. |
| PD | Predicate disambiguation | batch_69e219ee6f6481909663b388dc99770a |
completed | April 17, 2026, 11:30 a.m. |
Created at: April 10, 2026, 5:04 a.m.