Triple
T36795960
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | European proportionality doctrine |
E909180
|
entity |
| Predicate | appliedInCaseLawOf |
P23171
|
FINISHED |
| Object |
European Court of Human Rights Article 8 jurisprudence
European Court of Human Rights Article 8 jurisprudence is the body of case law interpreting and applying the right to respect for private and family life, home, and correspondence under Article 8 of the European Convention on Human Rights, particularly through a structured proportionality analysis of state interferences.
|
E2198922
|
NE FINISHED |
How this triple was built (3 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: European Court of Human Rights Article 8 jurisprudence | Statement: [European proportionality doctrine, appliedInCaseLawOf, European Court of Human Rights Article 8 jurisprudence]
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: European Court of Human Rights Article 8 jurisprudence Triple: [European proportionality doctrine, appliedInCaseLawOf, European Court of Human Rights Article 8 jurisprudence]
Generated description
European Court of Human Rights Article 8 jurisprudence is the body of case law interpreting and applying the right to respect for private and family life, home, and correspondence under Article 8 of the European Convention on Human Rights, particularly through a structured proportionality analysis of state interferences.
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: appliedInCaseLawOf Context triple: [European proportionality doctrine, appliedInCaseLawOf, European Court of Human Rights Article 8 jurisprudence]
-
A.
appliedInJurisdiction
Indicates that a rule, decision, or action is put into effect or holds legal force within a specified jurisdiction.
-
B.
appliedLawFrom
Indicates that a specific law or legal provision was applied or derived from a particular source, context, or jurisdiction in a legal decision or situation.
-
C.
appliesLawThrough
Indicates that one entity enforces, implements, or carries out a law or legal rule by means of another entity or mechanism.
-
D.
appliesToFieldOfLaw
Indicates that something is relevant or applicable to a particular field or branch of law.
-
E.
usedInCourts
chosen
Indicates that something is employed or applied within legal court settings, such as in judicial proceedings or courtroom processes.
- F. None of above.
Provenance (6 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_69f76e7b98888190899b6478a82ad6ae |
completed | May 3, 2026, 3:49 p.m. |
| NER | Named-entity recognition | batch_69ff9d9cb4f8819083682be3c483b599 |
completed | May 9, 2026, 8:48 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a3d17abd0cc819097cf1e5f069da262 |
completed | June 25, 2026, 11:57 a.m. |
| NEDg | Description generation | batch_6a3d19145c208190a696610d5164468f |
completed | June 25, 2026, 12:03 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a3d6a1d45c4819087ad68804e304233 |
completed | June 25, 2026, 5:49 p.m. |
| PD | Predicate disambiguation | batch_69ff9c38bf9c8190bbb85b32f3ae3d2e |
completed | May 9, 2026, 8:42 p.m. |
Created at: May 3, 2026, 4:12 p.m.