Triple
T1289918
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Constitution of the Year X |
E27521
|
entity |
| Predicate | politicalSystemType |
P15721
|
FINISHED |
| Object | authoritarian consulate |
—
|
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: authoritarian consulate | Statement: [Constitution of the Year X, politicalSystemType, authoritarian consulate]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: politicalSystemType Context triple: [Constitution of the Year X, politicalSystemType, authoritarian consulate]
-
A.
governmentType
Indicates the form or system of governance under which an entity (such as a country or organization) is organized and ruled.
-
B.
politicalForm
chosen
Indicates the type or structure of governance or political organization that characterizes an entity.
-
C.
typeOfGovernmentAfter
Indicates the form of government that exists or is established in a place following a specified event or time period.
-
D.
politicalSystemOnOtherSide
Indicates that one political system is located or operates on the opposite side of a specified reference point or boundary relative to another.
-
E.
powerClassification
Indicates how an entity’s power, strength, or influence is categorized or ranked within a defined system.
- 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_69a496d4ec448190ad653b2590c46711 |
completed | March 1, 2026, 7:43 p.m. |
| NER | Named-entity recognition | batch_69a4c0d4dfb081908c8825d6062b1d99 |
completed | March 1, 2026, 10:42 p.m. |
| PD | Predicate disambiguation | batch_69a4bee41ca08190b0ad6f7ea40c0b62 |
completed | March 1, 2026, 10:34 p.m. |
Created at: March 1, 2026, 7:51 p.m.