Triple
T8369479
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ông Công Ông Táo |
E197417
|
entity |
| Predicate | annualDepartureDate |
P82347
|
FINISHED |
| Object | 23rd day of the 12th 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: 23rd day of the 12th lunar month | Statement: [Ông Công Ông Táo, annualDepartureDate, 23rd day of the 12th lunar month]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: annualDepartureDate Context triple: [Ông Công Ông Táo, annualDepartureDate, 23rd day of the 12th lunar month]
-
A.
departureYear
Indicates the calendar year in which an entity leaves, exits, or ceases its association with another entity or location.
-
B.
annualFrom
Indicates that something recurs or is calculated on a yearly basis starting from a specified point in time.
-
C.
annualVisitation
Indicates a recurring visit or attendance that takes place once every year between the related entities.
-
D.
dateOfDisembarkation
Indicates the specific date on which an individual or entity got off or was released from a vehicle, vessel, or mode of transport.
-
E.
isAnnual
Indicates that something occurs, is scheduled, or is valid once every year.
- 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_69ca82f56730819080cec5d991c76f4c |
completed | March 30, 2026, 2:04 p.m. |
| NER | Named-entity recognition | batch_69cb808f7c0481909fef5834cb6e7a3e |
completed | March 31, 2026, 8:06 a.m. |
| PD | Predicate disambiguation | batch_69cb70cd04b08190ab5f72afd22a7967 |
completed | March 31, 2026, 6:59 a.m. |
| PDg | Predicate description generation | batch_69cb76d823b08190a54fadb50660cda5 |
completed | March 31, 2026, 7:25 a.m. |
Created at: March 30, 2026, 6:01 p.m.