Triple
T28681283
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Middle Way Policy |
E726011
|
entity |
| Predicate | doesNotSeek |
P45964
|
FINISHED |
| Object | separation of Tibet from 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: separation of Tibet from China | Statement: [Middle Way Policy, doesNotSeek, separation of Tibet from China]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: doesNotSeek Context triple: [Middle Way Policy, doesNotSeek, separation of Tibet from China]
-
A.
doesNotDrainTo
Indicates that one entity does not channel, carry, or direct flow (such as water or other material) into another entity or location.
-
B.
doesNotTry
chosen
Indicates that an entity makes no attempt to perform a particular action or engage in a specified activity.
-
C.
canSeek
Indicates that an entity has the ability or permission to pursue, search for, or attempt to obtain another entity or goal.
-
D.
doesNotUse
Indicates that one entity intentionally refrains from employing, utilizing, or relying on another entity, method, or resource.
-
E.
doesNot
Indicates that a specified entity lacks, refrains from, or fails to perform a particular action or exhibit a particular property in relation to another entity or context.
- 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_69f01d867608819086bc3e6b4f9de866 |
completed | April 28, 2026, 2:37 a.m. |
| NER | Named-entity recognition | batch_69f6617ba4a88190bfc5c305acb4f93f |
completed | May 2, 2026, 8:41 p.m. |
| PD | Predicate disambiguation | batch_69f660f082508190a95a7888ad66cb2e |
completed | May 2, 2026, 8:39 p.m. |
Created at: April 28, 2026, 5:09 a.m.