Triple
T6720175
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mid-Autumn Festival celebrations |
E153373
|
entity |
| Predicate | occurOn |
P39845
|
FINISHED |
| Object | 15th day of the 8th lunar month |
—
|
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: 15th day of the 8th lunar month | Statement: [Mid-Autumn Festival celebrations, occurOn, 15th day of the 8th lunar month]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: occurOn Context triple: [Mid-Autumn Festival celebrations, occurOn, 15th day of the 8th lunar month]
-
A.
occursWhen
Indicates that one event or condition happens at the same time or is triggered under the circumstances defined by another event or condition.
-
B.
occursAt
Indicates that an event or action takes place at a specific time or location.
-
C.
occursOnOrAround
chosen
Indicates that an event or action takes place on a specific date or within a small, approximate time window surrounding that date.
-
D.
occursFor
Indicates that an event, process, or condition takes place in relation to, or on behalf of, a particular entity or context.
-
E.
occurredIn
Indicates that an event or action took place within a specific location, context, or time frame.
- 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_69c68809b4608190a2509ddb5ab87f05 |
completed | March 27, 2026, 1:37 p.m. |
| NER | Named-entity recognition | batch_69c6d137084881908e04ee6b2bd45585 |
completed | March 27, 2026, 6:49 p.m. |
| PD | Predicate disambiguation | batch_69c6d08c5d348190a29dee668c398e70 |
completed | March 27, 2026, 6:46 p.m. |
Created at: March 27, 2026, 2:07 p.m.