Triple

T3242262
Position Surface form Disambiguated ID Type / Status
Subject Province of Frosinone E67988 entity
Predicate contains P35 FINISHED
Object Cassino E161926 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: Cassino | Statement: [Province of Frosinone, contains, Cassino]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Cassino
Context triple: [Province of Frosinone, contains, Cassino]
  • A. Cassino chosen
    Cassino is a town in central Italy known for its strategic location and the nearby Monte Cassino, site of a historic Benedictine abbey and major World War II battles.
  • B. Ladispoli
    Ladispoli is a coastal town in the Lazio region of central Italy, known for its beaches along the Tyrrhenian Sea and proximity to Rome.
  • C. Rieti
    Rieti is a historic town in central Italy often considered the geographical center of the country and known for its medieval architecture and proximity to the Apennine Mountains.
  • D. Savignano sul Rubicone
    Savignano sul Rubicone is an Italian town in Emilia-Romagna known for its location near the historic Rubicon River famously crossed by Julius Caesar.
  • E. Montegrande
    Montegrande is a small rural village in Chile’s Elqui Valley, known for its scenic Andean landscapes and traditional agricultural surroundings.
  • 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_69ad858d27348190abb61c280b4c86a9 completed March 8, 2026, 2:19 p.m.
NER Named-entity recognition batch_69adaf17463481909447f6ab46016407 completed March 8, 2026, 5:17 p.m.
NED1 Entity disambiguation (via context triple) batch_69b27757dff0819081a26aea52ede49d completed March 12, 2026, 8:20 a.m.
Created at: March 8, 2026, 3:08 p.m.