Triple
T16233296
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Marriage Law of the People's Republic of China |
E394041
|
entity |
| Predicate | firstMajorRevisionDate |
P122263
|
FINISHED |
| Object | 1980-09-10 |
—
|
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: 1980-09-10 | Statement: [Marriage Law of the People's Republic of China, firstMajorRevisionDate, 1980-09-10]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: firstMajorRevisionDate Context triple: [Marriage Law of the People's Republic of China, firstMajorRevisionDate, 1980-09-10]
-
A.
majorRevisionDate
Indicates the date on which an entity underwent a significant or substantial update or revision.
-
B.
firstMajorVersionBy
Indicates that one entity is the earliest or initial major version created or released by another entity.
-
C.
majorRevisionYear
Indicates the year in which a significant or primary revision of something (such as a work, document, or standard) was made.
-
D.
previousMajorRevisionYear
Indicates the calendar year in which the immediately preceding major revision or version of an item was released or finalized.
-
E.
firstMajorReleaseUsingFormat
Indicates that the subject is the first major release to use a particular format.
- 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_69d87f204df88190a8f88923decf9835 |
completed | April 10, 2026, 4:40 a.m. |
| NER | Named-entity recognition | batch_69e23d2b0cc48190853919135d5a172a |
completed | April 17, 2026, 2:01 p.m. |
| PD | Predicate disambiguation | batch_69e219ee6f6481909663b388dc99770a |
completed | April 17, 2026, 11:30 a.m. |
| PDg | Predicate description generation | batch_69e21e55a2388190b29a045a8c608ba4 |
completed | April 17, 2026, 11:49 a.m. |
Created at: April 10, 2026, 5:04 a.m.