Triple

T15147652
Position Surface form Disambiguated ID Type / Status
Subject Agia municipality E361855 entity
Predicate containsSettlement P847 FINISHED
Object Stomio E378077 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: Stomio | Statement: [Agia municipality, containsSettlement, Stomio]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Stomio
Context triple: [Agia municipality, containsSettlement, Stomio]
  • A. Stomio chosen
    Stomio is a small coastal village in Greece known for its location near the mouth of the Pineios River on the Aegean Sea.
  • B. Stompa
    "Stompa" is a hit pop-rock single by Canadian singer-songwriter Serena Ryder, known for its upbeat, soulful sound and widespread radio success.
  • C. Stod
    Stod is a small town in the Plzeň Region of the Czech Republic that serves as a local administrative and service center for surrounding municipalities.
  • D. Stymie
    Stymie is a popular character from the classic "Our Gang" (also known as "The Little Rascals") comedy film series, known for his trademark derby hat and humorous personality.
  • E. Stiva
    Stiva is the familiar nickname of Stepan Arkadyevich Oblonsky, a charming, pleasure-loving Moscow nobleman and key supporting character in Leo Tolstoy’s novel "Anna Karenina."
  • 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_69d85a0759908190b8a051d2e2a1cbe6 completed April 10, 2026, 2:01 a.m.
NER Named-entity recognition batch_69e005c825a481909d00098b0e743365 completed April 15, 2026, 9:40 p.m.
NED1 Entity disambiguation (via context triple) batch_69febff281848190a094bd697b19aaf3 completed May 9, 2026, 5:02 a.m.
Created at: April 10, 2026, 3:07 a.m.