Triple

T2543933
Position Surface form Disambiguated ID Type / Status
Subject North Athens regional unit E57850 entity
Predicate seat P75 FINISHED
Object Marousi E276362 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: Marousi | Statement: [North Athens regional unit, seat, Marousi]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Marousi
Context triple: [North Athens regional unit, seat, Marousi]
  • A. Marousi chosen
    Marousi is a suburban city in the Athens metropolitan area of Greece, known as a major commercial and business hub and home to several corporate headquarters and sports facilities.
  • B. Volos
    Volos is a coastal city in central Greece known as a major commercial and passenger port on the Aegean Sea.
  • C. Nea Figaleia
    Nea Figaleia is a modern Greek settlement located near the archaeological site of ancient Figaleia in the Peloponnese region.
  • D. Nafpaktos
    Nafpaktos is a historic coastal town in western Greece, known for its picturesque harbor, Venetian castle, and its role in the 1571 Battle of Lepanto.
  • E. Plomari
    Plomari is a coastal town on the Greek island of Lesbos, renowned for its traditional ouzo production and picturesque seaside setting.
  • 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_69ab4a5212d88190b989ce129f2ad87f completed March 6, 2026, 9:42 p.m.
NER Named-entity recognition batch_69abd2c10ce88190b242ab3d41878fda completed March 7, 2026, 7:24 a.m.
NED1 Entity disambiguation (via context triple) batch_69af655a0f088190a7ac30c6df1fdff6 completed March 10, 2026, 12:27 a.m.
Created at: March 6, 2026, 9:47 p.m.