Triple

T35897509
Position Surface form Disambiguated ID Type / Status
Subject Σπιανάδα E1038263 entity
Predicate έχει χαρακτηριστεί P99469 FINISHED
Object σημαντικός δημόσιος χώρος της Κέρκυρας 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: σημαντικός δημόσιος χώρος της Κέρκυρας | Statement: [Σπιανάδα, έχει χαρακτηριστεί, σημαντικός δημόσιος χώρος της Κέρκυρας]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: έχει χαρακτηριστεί
Context triple: [Σπιανάδα, έχει χαρακτηριστεί, σημαντικός δημόσιος χώρος της Κέρκυρας]
  • A. characterizedBy
    Indicates that one entity possesses a defining quality, feature, or attribute expressed by another entity.
  • B. subjectHasCharacteristic chosen
    Indicates that a subject possesses, exhibits, or is defined by a particular characteristic or attribute.
  • C. chargesCharacterization
    Indicates how legal or formal charges against an entity are described, classified, or characterized.
  • D. describesCharacteristicOf
    Indicates that one entity expresses or specifies a characteristic, feature, or property of another entity.
  • E. findingCharacterization
    Indicates that a finding is being described or classified in terms of its nature, features, or diagnostic significance.
  • 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_69f76e2190f88190beb2eed798a4ef01 completed May 3, 2026, 3:47 p.m.
NER Named-entity recognition batch_69f7b2c771108190adeec151daad5dab completed May 3, 2026, 8:40 p.m.
PD Predicate disambiguation batch_69f7b1bad2e88190963ab4ee5d4f2038 completed May 3, 2026, 8:36 p.m.
Created at: May 3, 2026, 4:07 p.m.