Triple
T3948453
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Supreme Civil and Criminal Court of Greece |
E84802
|
entity |
| Predicate | hasDecisionEffect |
P14171
|
FINISHED |
| Object | binding on lower civil courts |
—
|
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: binding on lower civil courts | Statement: [Supreme Civil and Criminal Court of Greece, hasDecisionEffect, binding on lower civil courts]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasDecisionEffect Context triple: [Supreme Civil and Criminal Court of Greece, hasDecisionEffect, binding on lower civil courts]
-
A.
decisionEffect
chosen
Indicates that one decision leads to, influences, or determines a particular outcome or consequence.
-
B.
hasIntendedEffect
Indicates that one entity is expected or designed to produce a particular effect or outcome on another entity or context.
-
C.
hasDecisionPoint
Indicates that there is a specific moment or juncture at which a choice between alternative options or paths must be made.
-
D.
hasLegalEffect
Indicates that an action, document, or condition produces recognized legal consequences or enforceable rights and obligations.
-
E.
tookEffect
Indicates that a change, rule, condition, or event became active, operative, or started producing its intended consequences.
- 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_69aed934fbfc8190847068e4546de963 |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69aefaa5afdc8190b709af2473d75d02 |
completed | March 9, 2026, 4:51 p.m. |
| PD | Predicate disambiguation | batch_69aef8ed04e4819096bced8971cd888d |
completed | March 9, 2026, 4:44 p.m. |
Created at: March 9, 2026, 3:30 p.m.