Triple
T29387771
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Twenty-One Demands |
E745296
|
entity |
| Predicate | group4Subject |
P57656
|
FINISHED |
| Object | non-alienation of Chinese coastal areas |
—
|
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: non-alienation of Chinese coastal areas | Statement: [Twenty-One Demands, group4Subject, non-alienation of Chinese coastal areas]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: group4Subject Context triple: [Twenty-One Demands, group4Subject, non-alienation of Chinese coastal areas]
-
A.
group3Subject
Indicates that an entity serves as the subject (main actor or topic) within the third group in a grouped or partitioned structure.
-
B.
subjectGroup
Indicates that an entity functions as a group or collection that the subject belongs to or is categorized under.
-
C.
fourthPartSubject
chosen
Indicates that the subject is the fourth part or component within a larger ordered whole or sequence.
-
D.
nameOfSubject
Indicates that the predicate specifies the name or label assigned to the subject entity.
-
E.
schoolSubject
Indicates that an entity is an academic subject taught, studied, or associated with a school or educational program.
- 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_69f0a79cfd5481909b4dde750cb8d2c6 |
completed | April 28, 2026, 12:27 p.m. |
| NER | Named-entity recognition | batch_69f67f7efc3c8190986d2d95b7a23729 |
completed | May 2, 2026, 10:49 p.m. |
| PD | Predicate disambiguation | batch_69f67e40af9881908de3a4aa15f70a83 |
completed | May 2, 2026, 10:44 p.m. |
Created at: April 28, 2026, 2:40 p.m.