Triple
T2225624
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | President of Romania |
E48640
|
entity |
| Predicate | defenceRole |
P15009
|
FINISHED |
| Object | leads the armed forces in time of war |
—
|
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: leads the armed forces in time of war | Statement: [President of Romania, defenceRole, leads the armed forces in time of war]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: defenceRole Context triple: [President of Romania, defenceRole, leads the armed forces in time of war]
-
A.
defensiveRole
Indicates that an entity serves a protective or guarding function in relation to another entity or context.
-
B.
defenceHandledBy
chosen
Indicates that responsibility for managing or conducting a defence is assigned to or carried out by a particular agent or entity.
-
C.
defender
Indicates a relationship where one entity protects, guards, or supports another entity against threats, attacks, or criticism.
-
D.
defensiveStructure
Indicates a relationship where one entity functions as a structure built or used to protect, defend, or fortify another entity or area.
-
E.
defends
Indicates that one entity protects or supports another entity against attack, criticism, or harm.
- 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_69a88aa51b388190949868ec9766e587 |
completed | March 4, 2026, 7:40 p.m. |
| NER | Named-entity recognition | batch_69abc03ffcbc8190a27e32af831c7be5 |
completed | March 7, 2026, 6:05 a.m. |
| PD | Predicate disambiguation | batch_69abbdac31d8819092d17815e11921e9 |
completed | March 7, 2026, 5:54 a.m. |
Created at: March 4, 2026, 7:47 p.m.