Triple

T3461645
Position Surface form Disambiguated ID Type / Status
Subject Lemnos E73038 entity
Predicate hasSettlement P1068 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: [Lemnos, hasSettlement, Myrina]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Myrina
Context triple: [Lemnos, hasSettlement, 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. 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.
  • E. Peristeri
    Peristeri is a densely populated suburban municipality of Athens, Greece, known as one of the largest and most vibrant districts in the Athens metropolitan area.
  • 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_69ad85b224d481908ff8be51338d24ff completed March 8, 2026, 2:20 p.m.
NER Named-entity recognition batch_69adbae745e081909007cd3a664c57f3 completed March 8, 2026, 6:07 p.m.
NED1 Entity disambiguation (via context triple) batch_69b373aaff688190b9f12a7042055a1c completed March 13, 2026, 2:17 a.m.
Created at: March 8, 2026, 3:17 p.m.