Triple

T16314697
Position Surface form Disambiguated ID Type / Status
Subject Nice metropolitan area E396143 entity
Predicate contains P35 FINISHED
Object Èze E363495 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: Èze | Statement: [Nice metropolitan area, contains, Èze]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Èze
Context triple: [Nice metropolitan area, contains, Èze]
  • A. Èze chosen
    Èze is a picturesque medieval hilltop village on the French Riviera, famed for its stunning views over the Mediterranean and its charming narrow streets.
  • B. Giave
    Giave is a small municipality in the historical Logudoro region of northern Sardinia, Italy.
  • C. Fabrezan
    Fabrezan is a small commune in the Aude department of southern France, known for its wine production and picturesque location in the Corbières region.
  • D. Ventotene
    Ventotene is a small Italian island in the Tyrrhenian Sea, historically known as a place of confinement for political prisoners and as the birthplace of key ideas behind European integration.
  • E. Miglieglia
    Miglieglia is a small municipality in the canton of Ticino in southern Switzerland, located in the Malcantone region near the Italian border.
  • 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_69d87f23bb088190a16fbb91a1957ea5 completed April 10, 2026, 4:40 a.m.
NER Named-entity recognition batch_69e288de57cc81908cec93309347c385 completed April 17, 2026, 7:24 p.m.
NED1 Entity disambiguation (via context triple) batch_6a001fa88e8c8190b0423b60389896dc completed May 10, 2026, 6:03 a.m.
Created at: April 10, 2026, 5:06 a.m.