Triple

T14352824
Position Surface form Disambiguated ID Type / Status
Subject Gulf of Salerno E355896 entity
Predicate hasCoastalTown P969 FINISHED
Object Eboli E794763 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: Eboli | Statement: [Gulf of Salerno, hasCoastalTown, Eboli]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Eboli
Context triple: [Gulf of Salerno, hasCoastalTown, Eboli]
  • A. Eboli chosen
    Eboli is a historic town in southern Italy’s Campania region, known for its agricultural traditions and its association with Carlo Levi’s book "Christ Stopped at Eboli."
  • B. Germanotta
    Germanotta is the Italian-origin surname of American pop icon Lady Gaga (Stefani Joanne Angelina Germanotta) and her family.
  • C. Bargnani
    Bargnani is an Italian surname most prominently associated with former NBA basketball player Andrea Bargnani.
  • D. Bisacquino
    Bisacquino is a small town in the Sicilian province of Palermo, Italy, known as the birthplace of film director Frank Capra.
  • E. Mulazzano
    Mulazzano is a small municipality in the Lombardy region of northern Italy, situated within commuting distance of Milan.
  • 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_69d82790a7e08190877e2d349b2e8d8e completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69de8f4ff1e48190bd9419d70098cede completed April 14, 2026, 7:02 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd4c44ff4c8190bbcc7a34b98ac330 completed May 8, 2026, 2:36 a.m.
Created at: April 10, 2026, 1:14 a.m.