Triple
T12616089
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bulgarian People's Army |
E301255
|
entity |
| Predicate | governmentFormOfStateServed |
P21555
|
FINISHED |
| Object | socialist republic |
—
|
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: socialist republic | Statement: [Bulgarian People's Army, governmentFormOfStateServed, socialist republic]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: governmentFormOfStateServed Context triple: [Bulgarian People's Army, governmentFormOfStateServed, socialist republic]
-
A.
governmentServed
Indicates that a person has held a position serving in or working for a particular government.
-
B.
servesStateOrDistrict
Indicates that an entity holds a role or position in service to a specific state or electoral district.
-
C.
governmentFormOfRuledState
chosen
Indicates the type of governmental system or structure by which a particular state or territory is ruled.
-
D.
governmentBodyServed
Indicates that one entity has served in an official capacity within, or as a member of, a particular government body.
-
E.
governmentBranchServed
Indicates that an entity has served in or been a member of a particular branch of government.
- 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_69d7bdeaf49c8190b13800111fa77ea3 |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d9617b07ec8190b714f04ae6654060 |
completed | April 10, 2026, 8:45 p.m. |
| PD | Predicate disambiguation | batch_69d960b195108190ac25bd95e644ace4 |
completed | April 10, 2026, 8:42 p.m. |
Created at: April 9, 2026, 5:12 p.m.