Triple
T23705427
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | People's Revolutionary Army |
E585705
|
entity |
| Predicate | governmentFormServed |
P153651
|
FINISHED |
| Object | People's Revolutionary Government |
—
|
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: People's Revolutionary Government | Statement: [People's Revolutionary Army, governmentFormServed, People's Revolutionary Government]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: governmentFormServed Context triple: [People's Revolutionary Army, governmentFormServed, People's Revolutionary Government]
-
A.
governmentFormModeled
Indicates that one government form is modeled after, or structurally based on, another government form.
-
B.
governmentFormAffected
Indicates that one entity has caused a change or influence on the form or structure of government of another entity.
-
C.
governmentFormCreated
Indicates that one entity established or instituted a particular form or system of government for another entity.
-
D.
governmentBodyServed
Indicates that one entity has served in an official capacity within, or as a member of, a particular government body.
-
E.
governmentFormRepresented
Indicates that one entity stands for or embodies a particular form or system of government on behalf of another entity or context.
- F. None of above. chosen
Provenance (4 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_69e24904bd508190abfcb74855de2918 |
completed | April 17, 2026, 2:51 p.m. |
| NER | Named-entity recognition | batch_69f1b686ef50819090a85e3ed40cfba1 |
completed | April 29, 2026, 7:43 a.m. |
| PD | Predicate disambiguation | batch_69f155e4b1148190836ede4741dcb888 |
completed | April 29, 2026, 12:50 a.m. |
| PDg | Predicate description generation | batch_69f15b453da88190889a8d9b21727958 |
completed | April 29, 2026, 1:13 a.m. |
Created at: April 17, 2026, 6:53 p.m.