Triple

T12319673
Position Surface form Disambiguated ID Type / Status
Subject Oropos E293694 entity
Predicate oppositeOf P3232 FINISHED
Object island of Euboea E19749 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: island of Euboea | Statement: [Oropos, oppositeOf, island of Euboea]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: island of Euboea
Context triple: [Oropos, oppositeOf, island of Euboea]
  • A. Euboea chosen
    Euboea is the second-largest Greek island, located off the eastern coast of mainland Greece in the Aegean Sea.
  • B. island of Ithaca
    The island of Ithaca is a small, mountainous Greek island in the Ionian Sea, traditionally celebrated in Homeric epic as the homeland of Odysseus.
  • C. Aegina
    Aegina is a figure in Greek mythology, a daughter of the river god Asopus and the nymph Metope, and the eponymous nymph of the island of Aegina.
  • D. Aegina
    Aegina is a Greek island in the Saronic Gulf, historically significant as a maritime power and cultural center in ancient Greece.
  • E. Aegina
    Aegina is a character from the television series "Spartacus," depicted as a courtesan and political player entangled in the power struggles of ancient Rome.
  • 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_69d6ab6ae0dc8190b1522a9c1c55c114 completed April 8, 2026, 7:24 p.m.
NER Named-entity recognition batch_69d93f4c2b548190938fff9427f07dc7 completed April 10, 2026, 6:19 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6346a3f34819091882004ab558347 completed May 2, 2026, 5:29 p.m.
Created at: April 8, 2026, 9:53 p.m.