Triple

T3242298
Position Surface form Disambiguated ID Type / Status
Subject Province of Frosinone E67988 entity
Predicate hasHistoricTown P847 FINISHED
Object Anagni E343835 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: Anagni | Statement: [Province of Frosinone, hasHistoricTown, Anagni]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Anagni
Context triple: [Province of Frosinone, hasHistoricTown, Anagni]
  • A. Anagni chosen
    Anagni is a historic medieval town in central Italy, renowned as the "City of the Popes" for having been the residence of several pontiffs and the site of significant events in papal history.
  • B. Grottaferrata
    Grottaferrata is a historic monastic town in Italy known for its Byzantine-rite abbey and its central role in the Italo-Albanian Catholic tradition.
  • C. Ceccano
    Ceccano is a historic town and comune in the Lazio region of central Italy, situated in the Province of Frosinone along the Sacco River.
  • D. Fiuggi
    Fiuggi is an Italian spa town in the Lazio region, renowned for its mineral water springs and therapeutic treatments.
  • E. Minturno
    Minturno is a historic town in the Lazio region of central Italy, known for its ancient Roman ruins and scenic position near the Tyrrhenian coast.
  • 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_69b324f1baec8190b076b65fd7e4be2a completed March 12, 2026, 8:41 p.m.
Created at: March 8, 2026, 3:08 p.m.