Triple

T6735864
Position Surface form Disambiguated ID Type / Status
Subject South Euboean Gulf E153751 entity
Predicate nearCity P350 FINISHED
Object Oropos E293694 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: Oropos | Statement: [South Euboean Gulf, nearCity, Oropos]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Oropos
Context triple: [South Euboean Gulf, nearCity, Oropos]
  • A. Oropos chosen
    Oropos is a coastal town and municipality in northeastern Attica, Greece, situated opposite the island of Euboea and known for its archaeological sites and seaside resorts.
  • B. Ascra
    Ascra was an ancient village in Boeotia, Greece, best known as the hometown of the poet Hesiod.
  • C. Xirokampos
    Xirokampos is a small coastal village on the Greek island of Leros, known for its tranquil setting and traditional island character.
  • D. Seriphos
    Seriphos is a small Aegean island in Greek mythology best known as the place where Perseus was raised and later returned with the head of Medusa.
  • E. Agrafa
    Agrafa is a rugged, sparsely populated mountain range in central Greece known for its remote villages, deep gorges, and historical role as a refuge during Ottoman rule.
  • 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_69c6880bdd68819097de8b6099992682 completed March 27, 2026, 1:37 p.m.
NER Named-entity recognition batch_69c6d18369d88190a73349075462202b completed March 27, 2026, 6:50 p.m.
NED1 Entity disambiguation (via context triple) batch_69c748a267488190bc7c5da9503b78c9 completed March 28, 2026, 3:18 a.m.
Created at: March 27, 2026, 2:09 p.m.