Triple

T15663711
Position Surface form Disambiguated ID Type / Status
Subject Karava E376631 entity
Predicate locatedIn P40 FINISHED
Object Agrafa E376631 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: Agrafa | Statement: [Karava, locatedIn, Agrafa]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Agrafa
Context triple: [Karava, locatedIn, Agrafa]
  • A. Agrafa chosen
    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.
  • B. Agrinio
    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.
  • C. Elatochori
    Elatochori is a mountain village and popular ski resort area in the Pieria regional unit of northern Greece.
  • D. Oropos
    Oropos is a coastal town and municipality in northeastern Attica, Greece, situated opposite the island of Euboea and known for its archaeological sites and seaside resorts.
  • E. 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.
  • 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_69d85cd1564c8190991adda63bfab4b0 completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69e04f0e2668819092e52712cddd0721 completed April 16, 2026, 2:53 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff7569d30c8190a711d78d05e9b8c5 completed May 9, 2026, 5:56 p.m.
Created at: April 10, 2026, 4:16 a.m.