Triple
T3000610
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Romanian Armed Forces |
E81176
|
entity |
| Predicate | previousType |
P16344
|
FINISHED |
| Object | conscription-based military 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: conscription-based military force | Statement: [Romanian Armed Forces, previousType, conscription-based military force]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: previousType Context triple: [Romanian Armed Forces, previousType, conscription-based military force]
-
A.
previousClassification
Indicates that one classification precedes another in time or in an ordered sequence of classifications.
-
B.
previousMode
Indicates that one mode directly precedes another in a sequence or state transition.
-
C.
previousStructure
Indicates that one structure directly precedes another in a defined sequence or configuration.
-
D.
previousTitle
Indicates that one title held or used by an entity directly preceded another title in sequence or time.
-
E.
formerType
chosen
Indicates that one entity previously had a certain type, role, or classification but no longer does.
- 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_69ad8b187fc8819085914d3c9ea3142d |
completed | March 8, 2026, 2:43 p.m. |
| NER | Named-entity recognition | batch_69ad9a1022e48190afee77db94635ff2 |
completed | March 8, 2026, 3:47 p.m. |
| PD | Predicate disambiguation | batch_69ad9615fefc8190ad96da92519cb7a3 |
completed | March 8, 2026, 3:30 p.m. |
Created at: March 8, 2026, 2:59 p.m.