Triple
T30716204
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Chinese military logistics system |
E782028
|
entity |
| Predicate | reformFeature |
P4888
|
FINISHED |
| Object | creation of Joint Logistic Support Force |
—
|
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: creation of Joint Logistic Support Force | Statement: [Chinese military logistics system, reformFeature, creation of Joint Logistic Support Force]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: reformFeature Context triple: [Chinese military logistics system, reformFeature, creation of Joint Logistic Support Force]
-
A.
reform
chosen
Indicates bringing about significant changes to an existing system, practice, or entity in order to improve or correct it.
-
B.
reformsBy
Indicates that one entity initiates, implements, or is responsible for changes or improvements (reforms) affecting another entity.
-
C.
featureChange
Indicates a modification in the properties, characteristics, or attributes of an entity between two states or points in time.
-
D.
subjectToReformBy
Indicates that an entity is undergoing or designated for changes, improvements, or restructuring carried out by another entity.
-
E.
reformsArea
Indicates that an entity is responsible for changing, improving, or restructuring a particular area or domain.
- 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_69f224acd24481908ed5f96f0d69b5dd |
completed | April 29, 2026, 3:33 p.m. |
| NER | Named-entity recognition | batch_69f68c5343b8819082ded39e2e8ee1c8 |
completed | May 2, 2026, 11:44 p.m. |
| PD | Predicate disambiguation | batch_69f6861170d08190bb98be609d436f84 |
completed | May 2, 2026, 11:17 p.m. |
Created at: April 29, 2026, 8:35 p.m.