Triple

T2680728
Position Surface form Disambiguated ID Type / Status
Subject Ionian School of literature E56565 entity
Predicate locatedIn P40 FINISHED
Object Heptanese E96762 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: Heptanese | Statement: [Ionian School of literature, locatedIn, Heptanese]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Heptanese
Context triple: [Ionian School of literature, locatedIn, Heptanese]
  • A. Heptanese chosen
    Heptanese is the traditional Greek cultural region encompassing the seven main Ionian Islands, known for its distinct blend of Venetian and Greek heritage.
  • B. Peraia
    Peraia is a locality in Greece known historically as the place where Ecuadorian statesman and first president Juan José Flores died.
  • C. Baheri
    Baheri is a town located in the Darbhanga district of the Indian state of Bihar.
  • D. Katuic
    Katuic is a branch of the Austroasiatic language family spoken primarily in parts of Laos, Vietnam, and neighboring regions of Southeast Asia.
  • E. Adalar
    Adalar is a district of Istanbul composed of the Princes' Islands, known for its historic wooden houses, car-free streets, and seaside resorts in the Sea of Marmara.
  • 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_69ab4a4b13fc81909dfdb3f23da46832 completed March 6, 2026, 9:42 p.m.
NER Named-entity recognition batch_69abd9d36ea8819094ada73d86ffaa8b completed March 7, 2026, 7:54 a.m.
NED1 Entity disambiguation (via context triple) batch_69afa06a3eb48190891326891222766d completed March 10, 2026, 4:39 a.m.
Created at: March 6, 2026, 9:54 p.m.