Triple
T31279971
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Shen Hongying |
E797635
|
entity |
| Predicate | militaryFaction |
P4889
|
FINISHED |
| Object | Guangxi Clique |
—
|
NE NERFINISHED |
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: Guangxi Clique | Statement: [Shen Hongying, militaryFaction, Guangxi Clique]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: militaryFaction Context triple: [Shen Hongying, militaryFaction, Guangxi Clique]
-
A.
forzaBelligerante
Indicates a party’s status or role as a belligerent force engaged in a conflict or war.
-
B.
militaryOrganization
chosen
Indicates that an entity functions as, or is associated with, a structured armed forces or defense-related organization.
-
C.
UnionForcesType
Indicates that one entity is associated with, composed of, or characterized by a specific type or category of union forces.
-
D.
stateOfForces
Indicates the condition, disposition, or readiness level of military or organizational forces at a given time.
-
E.
isUnifiedMilitaryOf
Indicates that an entity serves as the single, consolidated military force representing or defending another entity (such as a state, alliance, or organization).
- 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_69f224def9088190a37034eab3daf57f |
completed | April 29, 2026, 3:33 p.m. |
| NER | Named-entity recognition | batch_69f7675b12848190a3569cfda29c5b0e |
completed | May 3, 2026, 3:18 p.m. |
| PD | Predicate disambiguation | batch_69f762f4b59481909f70074f11825bfb |
completed | May 3, 2026, 3 p.m. |
Created at: April 29, 2026, 9:13 p.m.