Triple

T35087463
Position Surface form Disambiguated ID Type / Status
Subject administrative courts of Greece E1012615 entity
Predicate separateFrom P1611 FINISHED
Object civil courts of Greece
The civil courts of Greece are a branch of the Greek judiciary responsible for adjudicating private law disputes such as contracts, property, and family matters between individuals and legal entities.
E2126343 NE 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: civil courts of Greece | Statement: [administrative courts of Greece, separateFrom, civil courts of Greece]
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: civil courts of Greece
Triple: [administrative courts of Greece, separateFrom, civil courts of Greece]
Generated description
The civil courts of Greece are a branch of the Greek judiciary responsible for adjudicating private law disputes such as contracts, property, and family matters between individuals and legal entities.

Provenance (5 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_69f76dd432ec8190969bc32acfc152b1 completed May 3, 2026, 3:46 p.m.
NER Named-entity recognition batch_69f78bacbe5c8190a0a871529e80052e completed May 3, 2026, 5:53 p.m.
NED1 Entity disambiguation (via context triple) batch_6a37cfe932b881908565510edd8830c4 completed June 21, 2026, 11:50 a.m.
NEDg Description generation batch_6a37d0c6633c81909a7d803ece43f548 completed June 21, 2026, 11:53 a.m.
NED2 Entity disambiguation (via description) batch_6a37d3792f2c81909ae28634bbc0c47a completed June 21, 2026, 12:05 p.m.
Created at: May 3, 2026, 4:01 p.m.