Triple

T3098367
Position Surface form Disambiguated ID Type / Status
Subject Mount Taygetus E64654 entity
Predicate nearestCity P350 FINISHED
Object Kalamata E99873 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: Kalamata | Statement: [Mount Taygetus, nearestCity, Kalamata]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kalamata
Context triple: [Mount Taygetus, nearestCity, Kalamata]
  • A. Kalamata chosen
    Kalamata is a coastal city in southern Greece known for its olives, historic old town, and role as the capital of the Messenia region.
  • B. Plomari
    Plomari is a coastal town on the Greek island of Lesbos, renowned for its traditional ouzo production and picturesque seaside setting.
  • C. Elefsina
    Elefsina is a town in western Attica, Greece, known for its ancient sanctuary of Demeter at Eleusis and its role as a major industrial and port center near Athens.
  • D. Spetses
    Spetses is a historic Greek island known for its maritime heritage, elegant neoclassical architecture, and role in the Greek War of Independence.
  • E. 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.
  • 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_69ad857dc98481909e585dc3372e3ed5 completed March 8, 2026, 2:19 p.m.
NER Named-entity recognition batch_69ada23dde988190a1aca020685594f3 completed March 8, 2026, 4:22 p.m.
NED1 Entity disambiguation (via context triple) batch_69b2f3af69288190869eb648d15ad5e7 completed March 12, 2026, 5:11 p.m.
Created at: March 8, 2026, 3:03 p.m.