Triple

T9822628
Position Surface form Disambiguated ID Type / Status
Subject Toroneos Gulf E238571 entity
Predicate hasNearbySettlement P4647 FINISHED
Object Sarti E234951 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: Sarti | Statement: [Toroneos Gulf, hasNearbySettlement, Sarti]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sarti
Context triple: [Toroneos Gulf, hasNearbySettlement, Sarti]
  • A. Sarti chosen
    Sarti is a coastal village and popular beach resort on the Sithonia peninsula in northern Greece, known for its scenic shoreline and views of Mount Athos.
  • B. Soral
    Soral is a small rural municipality in southwestern Switzerland, located in the canton of Geneva near the French border.
  • C. Livaneli
    Livaneli is the surname of Zülfü Livaneli, a prominent Turkish musician, novelist, and political figure.
  • D. Chaloub
    Chaloub is a surname of likely Arabic origin, used as a transliteration variant of the name Chalhub.
  • E. Carosino
    Carosino is a small town and comune in the Apulia region of southern Italy, known for its wine production and proximity to the city of Taranto.
  • 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_69ca84dfde1481909f47c286d715f892 completed March 30, 2026, 2:12 p.m.
NER Named-entity recognition batch_69cdb315ddf48190bd90f7835f409bb6 completed April 2, 2026, 12:06 a.m.
NED1 Entity disambiguation (via context triple) batch_69d1cc7ce1908190a5131ef238541f0d completed April 5, 2026, 2:44 a.m.
Created at: March 30, 2026, 8:31 p.m.