Triple

T15082727
Position Surface form Disambiguated ID Type / Status
Subject Castelnuovo di Farfa E360190 entity
Predicate sharesBorderWith P224 FINISHED
Object Toffia E344583 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: Toffia | Statement: [Castelnuovo di Farfa, sharesBorderWith, Toffia]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Toffia
Context triple: [Castelnuovo di Farfa, sharesBorderWith, Toffia]
  • A. Toffia chosen
    Toffia is a small historic hilltop town in the Lazio region of central Italy, known for its medieval architecture and scenic countryside setting.
  • B. Teroenza
    Teroenza is a character in the Star Wars universe known for being one of the earlier owners of the iconic starship Millennium Falcon.
  • C. Tofana
    Tofana is a prominent mountain massif in the Dolomites of northern Italy, renowned for its challenging ski slopes and role as a major alpine skiing competition venue.
  • D. Tordino
    Tordino is a river in the Abruzzo region of central Italy that flows through the city of Teramo before reaching the Adriatic Sea.
  • E. Togninia
    Togninia is a genus of fungi known for its ascomycetous species, some of which are associated with plant diseases.
  • 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_69d85a035aa88190b52a139d3a1b7b6d completed April 10, 2026, 2:01 a.m.
NER Named-entity recognition batch_69e0027450a48190a84588b6aaf84ebf completed April 15, 2026, 9:26 p.m.
NED1 Entity disambiguation (via context triple) batch_69feae179a24819097019976707c93e1 completed May 9, 2026, 3:46 a.m.
Created at: April 10, 2026, 3:03 a.m.