Triple
T2047465
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Minister of Defence |
E45485
|
entity |
| Predicate | termDeterminedBy |
P7593
|
FINISHED |
| Object | national law |
—
|
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: national law | Statement: [Minister of Defence, termDeterminedBy, national law]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: termDeterminedBy Context triple: [Minister of Defence, termDeterminedBy, national law]
-
A.
determinedBy
chosen
Indicates that one entity’s state, value, or outcome is decided, controlled, or fully specified by another entity.
-
B.
termType
Indicates the classification or category of a term within a system, specifying what kind of term it is (e.g., type, role, or function) in relation to others.
-
C.
termFormalizedBy
Indicates that a given term has been formally defined, specified, or codified by a particular formalization (such as a formal theory, document, or system).
-
D.
divisionDefinedBy
Indicates that a division or partition is established or characterized according to a specified rule, criterion, or defining entity.
-
E.
laterDefinedBy
Indicates that the referenced entity’s full definition or specification is provided at a subsequent point in the same or another resource.
- 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_69a8891948208190ab7898da21824c77 |
completed | March 4, 2026, 7:33 p.m. |
| NER | Named-entity recognition | batch_69abbc2c3f6c8190aff07097b2654e52 |
completed | March 7, 2026, 5:48 a.m. |
| PD | Predicate disambiguation | batch_69abb7aa00d4819086d347d9a08f81a0 |
completed | March 7, 2026, 5:29 a.m. |
Created at: March 4, 2026, 7:39 p.m.