Triple
T4576597
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Constitution of the Republic of China |
E123152
|
entity |
| Predicate | firstMajorAmendmentPeriod |
P50931
|
FINISHED |
| Object | 1991-1994 |
—
|
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: 1991-1994 | Statement: [Constitution of the Republic of China, firstMajorAmendmentPeriod, 1991-1994]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: firstMajorAmendmentPeriod Context triple: [Constitution of the Republic of China, firstMajorAmendmentPeriod, 1991-1994]
-
A.
firstMajorAmendment
Indicates that one amendment is the first major or primary amendment associated with another entity (such as a document, proposal, or law).
-
B.
majorAmendmentYear
Indicates the year in which a significant or major amendment was made to something (such as a document, law, or agreement).
-
C.
majorAmendmentDate
Indicates the date on which a significant change or revision to something was formally made or took effect.
-
D.
timeOfMajorReforms
chosen
Indicates the specific time period during which significant reforms or major changes took place.
-
E.
amendmentYear
Indicates the year in which an amendment to a law, document, or agreement was formally made or enacted.
- 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_69bd46466c7081909d07f36be2d08804 |
completed | March 20, 2026, 1:06 p.m. |
| NER | Named-entity recognition | batch_69bd58e153908190ac8f578e03aecdfc |
completed | March 20, 2026, 2:25 p.m. |
| PD | Predicate disambiguation | batch_69bd5228b70c8190ac48705e35a710c1 |
completed | March 20, 2026, 1:56 p.m. |
Created at: March 20, 2026, 1:10 p.m.