Triple

T11879898
Position Surface form Disambiguated ID Type / Status
Subject Athens Riviera E282627 entity
Predicate hasPart P35 FINISHED
Object Elliniko E951172 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: Elliniko | Statement: [Athens Riviera, hasPart, Elliniko]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Elliniko
Context triple: [Athens Riviera, hasPart, Elliniko]
  • A. Elliniko chosen
    Elliniko is a coastal suburb in the southern part of the Athens metropolitan area, known for its seaside location and the site of the former Athens international airport.
  • B. Megalesia
    Megalesia was an ancient Roman religious festival featuring games and theatrical performances in honor of the goddess Cybele.
  • C. Grikos
    Grikos is a small coastal village on the Greek island of Patmos, known for its scenic bay and tranquil beaches.
  • D. Sila Greca
    Sila Greca is a subregion of the Sila mountain range in Calabria, southern Italy, historically associated with Arbëreshë (Italo-Albanian) communities and distinctive highland landscapes.
  • E. Ellin
    Ellin is a feminine given name, often used as a variant of Ellen or Helen.
  • 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_69d6ab2945d081908a5851c916cbcfb5 completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d8be1cad5c8190a45dfb0f0cc2a512 completed April 10, 2026, 9:08 a.m.
NED1 Entity disambiguation (via context triple) batch_69f43fd661f481909b1f7609540e42d7 completed May 1, 2026, 5:53 a.m.
Created at: April 8, 2026, 9:44 p.m.