Triple

T19111740
Position Surface form Disambiguated ID Type / Status
Subject Paxos E467806 entity
Predicate hasVillage P4011 FINISHED
Object Loggos NE NERFINISHED

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: Loggos | Statement: [Paxos, hasVillage, Loggos]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Loggos
Context triple: [Paxos, hasVillage, Loggos]
  • A. Loggos chosen
    Loggos is a small, picturesque coastal village on the Greek island of Paxos, known for its harbor, traditional tavernas, and relaxed atmosphere.
  • B. Osko
    Osko is an Australian real-time payment service that enables fast, secure, and data-rich bank transfers between participating financial institutions.
  • C. Simogo
    Simogo is an independent Swedish game development studio known for its stylish, narrative-driven titles that blend music, art, and innovative gameplay.
  • D. Vargo
    Vargo is a surname most notably associated with Ed Vargo, an American Major League Baseball umpire.
  • E. Denio
    Denio is a small unincorporated community in northern Nevada near the Oregon border, known for its remote high-desert setting and ranching heritage.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d8dd06a26481908039e2a1bae8c597 completed April 10, 2026, 11:20 a.m.
NER Named-entity recognition batch_69e5e394969c81909d09b2300ea0e041 completed April 20, 2026, 8:28 a.m.
Created at: April 10, 2026, 12:04 p.m.