Triple
T31306071
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Trade Union Law of the People's Republic of China |
E798339
|
entity |
| Predicate | originalPromulgationYear |
P24044
|
FINISHED |
| Object | 1992 |
—
|
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: 1992 | Statement: [Trade Union Law of the People's Republic of China, originalPromulgationYear, 1992]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: originalPromulgationYear Context triple: [Trade Union Law of the People's Republic of China, originalPromulgationYear, 1992]
-
A.
originYear
Indicates the year in which something first originated, was created, or began.
-
B.
originalYear
Indicates the year in which something was first created, released, or initially came into existence.
-
C.
yearOfPromulgation
chosen
Indicates the specific year in which something, typically a law or formal decree, was officially enacted or put into effect.
-
D.
publicationYear
Indicates the specific calendar year in which a work was formally published or released.
-
E.
firstAssociatedPublicationYear
Indicates the calendar year in which an entity’s earliest associated publication was first released or made publicly available.
- 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_69f224e0bd4c8190aab9b29a73f7aa3c |
completed | April 29, 2026, 3:33 p.m. |
| NER | Named-entity recognition | batch_6a00a2f0d1588190a936ea7df0ef0464 |
completed | May 10, 2026, 3:23 p.m. |
| PD | Predicate disambiguation | batch_6a00a28ccd94819085b5e123f5a4769e |
completed | May 10, 2026, 3:21 p.m. |
Created at: April 29, 2026, 9:14 p.m.