Triple

T23393533
Position Surface form Disambiguated ID Type / Status
Subject Ontario Regiment (Tank) E594083 entity
Predicate hasBattleHonour P12198 FINISHED
Object Agira 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: Agira | Statement: [Ontario Regiment (Tank), hasBattleHonour, Agira]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Agira
Context triple: [Ontario Regiment (Tank), hasBattleHonour, Agira]
  • A. Agira chosen
    Agira is a historic hill town in central Sicily, Italy, known for its ancient origins, medieval architecture, and panoramic views over the surrounding countryside.
  • B. Tosali
    Tosali was an ancient city that served as a major political and administrative center of the Kalinga kingdom in eastern India.
  • C. Falciano
    Falciano is a village and civil parish in the Republic of San Marino, forming part of the municipality of Serravalle.
  • D. Menetes
    Menetes is a genus of rodents in the squirrel family, comprising ground-dwelling squirrels native to parts of Asia.
  • E. Menetes
    Menetes is a traditional mountain village on the Greek island of Karpathos, known for its colorful houses, narrow alleys, and panoramic views over the Aegean Sea.
  • 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_69e25d2754fc819085deea939bde60ab completed April 17, 2026, 4:17 p.m.
NER Named-entity recognition batch_69f1a49df4308190ab4ab31310af81ed completed April 29, 2026, 6:26 a.m.
Created at: April 17, 2026, 5:36 p.m.