Triple

T13710081
Position Surface form Disambiguated ID Type / Status
Subject Province of Fermo E328747 entity
Predicate contains P35 FINISHED
Object Porto Sant’Elpidio E746111 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: Porto Sant’Elpidio | Statement: [Province of Fermo, contains, Porto Sant’Elpidio]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Porto Sant’Elpidio
Context triple: [Province of Fermo, contains, Porto Sant’Elpidio]
  • A. Porto Sant’Elpidio chosen
    Porto Sant’Elpidio is a coastal town in Italy’s Marche region, known for its Adriatic beaches, footwear industry, and seaside tourism.
  • 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. Portomaggiore
    Portomaggiore is a municipality in Italy’s Emilia-Romagna region known for its agricultural landscape and proximity to the city of Ferrara.
  • D. Porto Cesareo
    Porto Cesareo is a coastal town and popular seaside resort in southern Italy’s Apulia region, known for its sandy beaches, clear Ionian Sea waters, and protected marine area.
  • E. Sant’Elpidio a Mare
    Sant’Elpidio a Mare is a historic hilltop town in Italy’s Marche region, known for its medieval architecture and traditional shoemaking industry.
  • 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_69d80770b9bc81909f70c8c317d53cff completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69dd43949e6c8190ae5e4fa119cde33a completed April 13, 2026, 7:27 p.m.
NED1 Entity disambiguation (via context triple) batch_69f7a845a29c81908096a785f5af5521 completed May 3, 2026, 7:55 p.m.
Created at: April 9, 2026, 9:54 p.m.