Triple
T494082
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Government of Greece |
E10251
|
entity |
| Predicate | constitutionalAmendments |
P5553
|
FINISHED |
| Object | 1986 |
—
|
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: 1986 | Statement: [Government of Greece, constitutionalAmendments, 1986]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: constitutionalAmendments Context triple: [Government of Greece, constitutionalAmendments, 1986]
-
A.
constitutionalChange
chosen
Indicates a formal modification, addition, or removal of provisions within a constitution or foundational legal framework.
-
B.
laterConstitutionalAct
Indicates that one constitutional act occurs after another in time, establishing a later legal or constitutional measure relative to a prior one.
-
C.
constitutionalArticleAffected
Indicates that a specific constitutional article is impacted, modified, or otherwise influenced by an action, event, or legal measure.
-
D.
effectOfAmendments
Indicates the causal impact or consequences that specific amendments have on something, such as a law, document, or situation.
-
E.
constitutionalNumber
Indicates that an entity has a specific number or count defined or constrained by a constitution or foundational governing document.
- 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_69a2e847df8481909239ec08ccf1e376 |
completed | Feb. 28, 2026, 1:06 p.m. |
| NER | Named-entity recognition | batch_69a2f0fbfa408190aeb3b93996a35c00 |
completed | Feb. 28, 2026, 1:43 p.m. |
| PD | Predicate disambiguation | batch_69a2edf90ca88190b6a182e5b6733612 |
completed | Feb. 28, 2026, 1:30 p.m. |
Created at: Feb. 28, 2026, 1:12 p.m.