Triple
T26392536
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Chen Zhen |
E663455
|
entity |
| Predicate | sentDownYouth |
P160495
|
FINISHED |
| Object | yes |
—
|
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: yes | Statement: [Chen Zhen, sentDownYouth, yes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: sentDownYouth Context triple: [Chen Zhen, sentDownYouth, yes]
-
A.
youthWing
Indicates that one organization serves as the youth or junior wing of another organization, typically representing younger members aligned with the parent body.
-
B.
youthTier
Indicates a classification relationship where an entity is assigned to a specific youth-related level, category, or bracket within a tiered system.
-
C.
youthQuota
Indicates that there is a specified minimum or reserved proportion of opportunities, positions, or resources allocated specifically for young people.
-
D.
sentStudentsTo
Indicates that one entity caused or arranged for students to go or be transferred to another place, institution, or person.
-
E.
sentAs
Indicates that one entity was transmitted, dispatched, or delivered in the form, role, or capacity of another (e.g., an item or message being sent as something specific).
- 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_69ee883823988190b418b111be28a44a |
completed | April 26, 2026, 9:48 p.m. |
| NER | Named-entity recognition | batch_69f610c024f081908237794984538566 |
completed | May 2, 2026, 2:57 p.m. |
| PD | Predicate disambiguation | batch_69f5f800fa9c8190aab0962669fde8ac |
completed | May 2, 2026, 1:11 p.m. |
| PDg | Predicate description generation | batch_69f6018ceb1c8190a6a5f84071659a96 |
completed | May 2, 2026, 1:52 p.m. |
Created at: April 26, 2026, 11:26 p.m.