Triple
T17996233
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Italian general election, 2013 |
E430505
|
entity |
| Predicate | resultGovernmentType |
P80989
|
FINISHED |
| Object | grand coalition |
—
|
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: grand coalition | Statement: [Italian general election, 2013, resultGovernmentType, grand coalition]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: resultGovernmentType Context triple: [Italian general election, 2013, resultGovernmentType, grand coalition]
-
A.
targetGovernmentType
Indicates the form or system of governance that an entity is directed toward, associated with, or intended to influence.
-
B.
typeOfGovernmentInstitution
Indicates that one entity is a government institution of the type or category specified by the other entity.
-
C.
laterGovernmentType
Indicates that one government type succeeds or replaces another at a later point in time.
-
D.
implementedGovernmentType
chosen
Indicates the specific form of government that has been put into practice or adopted by an entity.
-
E.
governmentalUnitType
Indicates the specific category or classification of a governmental unit (such as federal, state, municipal, or other administrative level) that an entity belongs to.
- 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_69d8b90364248190a37381adea932f42 |
completed | April 10, 2026, 8:46 a.m. |
| NER | Named-entity recognition | batch_69e4b3e4ae948190903ed255b0fe1dca |
completed | April 19, 2026, 10:52 a.m. |
| PD | Predicate disambiguation | batch_69e3f90039e4819080527f860dca042e |
completed | April 18, 2026, 9:34 p.m. |
Created at: April 10, 2026, 10:23 a.m.