Triple

T4796586
Position Surface form Disambiguated ID Type / Status
Subject Aeolis E106726 entity
Predicate hasCity P316 FINISHED
Object Myrina E361345 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: Myrina | Statement: [Aeolis, hasCity, Myrina]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Myrina
Context triple: [Aeolis, hasCity, Myrina]
  • A. Myrina chosen
    Myrina is the main town and administrative center of the Greek island of Lemnos in the northern Aegean Sea.
  • B. Elateia
    Elateia was an important ancient Greek city in the region of Phocis, strategically located on the main route between northern and central Greece.
  • C. Iasos
    Iasos was an ancient Greek coastal city in Caria, in southwestern Asia Minor, known for its harbor, fisheries, and distinctive local culture.
  • D. Evdilos
    Evdilos is a coastal town and port on the Greek island of Ikaria, serving as one of its main transportation and administrative hubs.
  • E. Amfissa
    Amfissa is a historic town in central Greece, near Delphi, known for its ancient roots, traditional architecture, and olive cultivation in the surrounding Crisaean plain.
  • 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_69bd43f591c881909e5a532388b0f3f3 completed March 20, 2026, 12:56 p.m.
NER Named-entity recognition batch_69bd660b05ec8190971f43350f02fed4 completed March 20, 2026, 3:21 p.m.
NED1 Entity disambiguation (via context triple) batch_69be4d9a76c08190bd19fcef378cd640 completed March 21, 2026, 7:49 a.m.
Created at: March 20, 2026, 1:22 p.m.