Triple

T11972976
Position Surface form Disambiguated ID Type / Status
Subject Nea Penteli E284965 entity
Predicate hasNearbySettlement P4647 FINISHED
Object Vrilissia E276367 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: Vrilissia | Statement: [Nea Penteli, hasNearbySettlement, Vrilissia]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Vrilissia
Context triple: [Nea Penteli, hasNearbySettlement, Vrilissia]
  • A. Vrilissia chosen
    Vrilissia is a suburban municipality in the northeastern part of the Athens metropolitan area in Greece.
  • B. Vivarais
    Vivarais is a historical region in south-central France, known for its rugged landscapes, part of the broader Massif Central, and its traditional rural culture.
  • C. Visaltia
    Visaltia is a municipality in northern Greece located within the Serres regional unit in Central Macedonia.
  • D. Teraina
    Teraina is a remote, low-lying coral atoll in the central Pacific Ocean that forms part of the Republic of Kiribati.
  • E. Izzone
    The Izzone is the passionate and famously raucous student cheering section for Michigan State University men's basketball games at the Breslin Center.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

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_69d6ab2eaeb881909f7914758f859413 completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d9039107e48190ae4c4efd6257dd3c completed April 10, 2026, 2:05 p.m.
NED1 Entity disambiguation (via context triple) batch_69f4597cf818819089b0d897c236b87b completed May 1, 2026, 7:42 a.m.
Created at: April 8, 2026, 9:46 p.m.