Triple

T22376910
Position Surface form Disambiguated ID Type / Status
Subject Princes of Valmontone E553173 entity
Predicate seat P75 FINISHED
Object Valmontone NE NERFINISHED

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: Valmontone | Statement: [Princes of Valmontone, seat, Valmontone]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Valmontone
Context triple: [Princes of Valmontone, seat, Valmontone]
  • A. Valmontone chosen
    Valmontone is a town in the Lazio region of central Italy, known for its historic center and the nearby Valmontone Outlet shopping complex and theme park.
  • B. Monterotondo
    Monterotondo is a historic town in the Lazio region of central Italy, near Rome, known for its medieval heritage and ties to prominent noble families such as the Orsini.
  • C. Musignano
    Musignano is an Italian locality historically linked to the Bonaparte family’s expanded heraldic and territorial holdings.
  • D. Montefiascone
    Montefiascone is a historic hilltop town in Italy’s Lazio region, known for its scenic views over Lake Bolsena and its production of the Est! Est!! Est!!! white wine.
  • E. Magliano de' Marsi
    Magliano de' Marsi is a small town in the Abruzzo region of central Italy, known for its historic architecture and scenic setting within the Apennine mountain landscape.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e11e4c03248190a26a5060ea6973ee completed April 16, 2026, 5:37 p.m.
NER Named-entity recognition batch_69f158285d208190bc7d05d315267995 completed April 29, 2026, 1 a.m.
Created at: April 16, 2026, 8:45 p.m.