Triple

T19328729
Position Surface form Disambiguated ID Type / Status
Subject Madouri E483427 entity
Predicate nearbyIsland P2064 FINISHED
Object Meganisi 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: Meganisi | Statement: [Madouri, nearbyIsland, Meganisi]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Meganisi
Context triple: [Madouri, nearbyIsland, Meganisi]
  • A. Meganisi chosen
    Meganisi is a small Greek island in the Ionian Sea known for its tranquil villages, clear waters, and sheltered bays popular with sailors.
  • B. Stratis Tériade
    Stratis Tériade was a Greek-born French art critic, publisher, and patron best known for his influential art journal "Verve" and collaborations with major 20th-century artists such as Matisse and Picasso.
  • C. Menas
    Menas is a pirate and follower of Pompey in Shakespeare's tragedy "Antony and Cleopatra," known for proposing a plot to seize control of Rome's leaders.
  • D. Florakis
    Florakis is a Greek surname most notably associated with Charilaos Florakis, a prominent Greek communist leader and politician.
  • E. Vassiliki
    Vassiliki is a coastal village on the Greek island of Lefkada, known for its popular beaches and excellent windsurfing conditions.
  • 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_69d8e8d13e3c81909d91d1d5ec37c095 completed April 10, 2026, 12:10 p.m.
NER Named-entity recognition batch_69e6163f32f48190be17cccf4e537372 completed April 20, 2026, 12:04 p.m.
Created at: April 10, 2026, 1:33 p.m.