Triple
T32573141
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Shenzhou 13 |
E832567
|
entity |
| Predicate | educationOutreach |
P85017
|
FINISHED |
| Object | live science classes from space to students in China |
—
|
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: live science classes from space to students in China | Statement: [Shenzhou 13, educationOutreach, live science classes from space to students in China]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: educationOutreach Context triple: [Shenzhou 13, educationOutreach, live science classes from space to students in China]
-
A.
educationInitiative
chosen
Indicates a relationship where an entity plans, supports, or carries out a program or action aimed at improving or promoting education.
-
B.
educationSectorActivity
Indicates activities, operations, or initiatives that take place within or are specifically related to the education sector.
-
C.
educationAndCulture
Indicates a relationship where activities, policies, or influences connect educational processes with cultural development, preservation, or expression.
-
D.
educationUse
Indicates the use or application of something specifically for educational purposes or in an educational context.
-
E.
coEducation
Indicates that an educational institution or program provides instruction to students of different genders together rather than separately.
- 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_69f34927bb308190ad94da1b11cad13c |
completed | April 30, 2026, 12:20 p.m. |
| NER | Named-entity recognition | batch_69f727afd5d88190ad48735cd1b32787 |
completed | May 3, 2026, 10:47 a.m. |
| PD | Predicate disambiguation | batch_69f72737c42c8190a3f781a5e98868ff |
completed | May 3, 2026, 10:45 a.m. |
Created at: May 1, 2026, 1:04 a.m.