Triple

T1003745
Position Surface form Disambiguated ID Type / Status
Subject Elba E21661 entity
Predicate largestCity P235 FINISHED
Object Portoferraio E131355 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: Portoferraio | Statement: [Elba, largestCity, Portoferraio]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Portoferraio
Context triple: [Elba, largestCity, Portoferraio]
  • A. Portoferraio chosen
    Portoferraio is the main town and administrative center of the Italian island of Elba, known for its historic harbor and association with Napoleon’s exile.
  • B. Porto Ercole
    Porto Ercole is a coastal village on Italy’s Monte Argentario peninsula, known as a historic Tuscan port and the place where the painter Caravaggio died.
  • C. Messina
    Messina is a major port city in northeastern Sicily, Italy, located on the Strait of Messina opposite mainland Calabria.
  • D. Capri
    Capri is a picturesque Italian island in the Bay of Naples, renowned for its dramatic cliffs, Blue Grotto sea cave, and long history as a retreat for writers, artists, and the elite.
  • E. Forte dei Marmi
    Forte dei Marmi is an upscale seaside resort town on the Tuscan coast of Italy, known for its sandy beaches, luxury villas, and popularity among affluent vacationers.
  • 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_69a493c53e648190ae8cb76c433fd9a7 completed March 1, 2026, 7:30 p.m.
NER Named-entity recognition batch_69a4b4ff614081909478500ada1f5059 completed March 1, 2026, 9:51 p.m.
NED1 Entity disambiguation (via context triple) batch_69ac661d6d4c8190a72cd52ec2a27e12 completed March 7, 2026, 5:53 p.m.
Created at: March 1, 2026, 7:41 p.m.