Triple

T22667165
Position Surface form Disambiguated ID Type / Status
Subject Stratos Dam E559820 entity
Predicate nearCity P350 FINISHED
Object Agrinio NE NERFINISHED

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: Agrinio | Statement: [Stratos Dam, nearCity, Agrinio]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Agrinio
Context triple: [Stratos Dam, nearCity, Agrinio]
  • A. Agrinio chosen
    Agrinio is a major city in western Greece known for its agricultural production, especially tobacco, and its role as an economic and cultural center of the region.
  • B. Agrafa
    Agrafa is a rugged, sparsely populated mountain range in central Greece known for its remote villages, deep gorges, and historical role as a refuge during Ottoman rule.
  • C. Poliochni
    Poliochni is an important prehistoric Aegean settlement on the island of Lemnos, often noted as one of the earliest known urban centers in Europe.
  • D. Elatochori
    Elatochori is a mountain village and popular ski resort area in the Pieria regional unit of northern Greece.
  • E. Chalkidona
    Chalkidona is a town in Central Macedonia, Greece, serving as the administrative center of the surrounding municipality.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e2454a158c819093b8e35f5045efb6 completed April 17, 2026, 2:35 p.m.
NER Named-entity recognition batch_69f1781ceca08190ba1309570e81c5af completed April 29, 2026, 3:16 a.m.
Created at: April 17, 2026, 3:09 p.m.