Triple
T13872672
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Wu Jinglian |
E333492
|
entity |
| Predicate | hasPublishedWorkOn |
P81453
|
FINISHED |
| Object | China’s market reforms |
—
|
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: China’s market reforms | Statement: [Wu Jinglian, hasPublishedWorkOn, China’s market reforms]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasPublishedWorkOn Context triple: [Wu Jinglian, hasPublishedWorkOn, China’s market reforms]
-
A.
publishedWorksBy
Indicates that one entity has created works that have been made publicly available by another entity (such as an author’s works published by a publisher).
-
B.
hasCatalogedWorkOn
Indicates that an entity has formally recorded, listed, or documented another entity as a work within a catalog or collection.
-
C.
workedForPublication
Indicates that an entity was employed by or contributed work to a particular publication (such as a newspaper, magazine, or journal).
-
D.
hasWorksAbout
chosen
Indicates that one entity (such as a creator, collection, or source) includes or is associated with works whose subject or focus is another entity.
-
E.
hasResearchOutput
Indicates that an entity produces, is associated with, or is responsible for a particular research output or scholarly work.
- 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_69d81c5ced9c8190b0e9bcc6effe5959 |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de23a101488190bd790b28033d38b9 |
completed | April 14, 2026, 11:23 a.m. |
| PD | Predicate disambiguation | batch_69de05972f3881909977b4c843984f88 |
completed | April 14, 2026, 9:15 a.m. |
Created at: April 9, 2026, 10:14 p.m.