Triple

T13766187
Position Surface form Disambiguated ID Type / Status
Subject Province of Ascoli Piceno E330748 entity
Predicate contains P35 FINISHED
Object Monteprandone E749361 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: Monteprandone | Statement: [Province of Ascoli Piceno, contains, Monteprandone]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Monteprandone
Context triple: [Province of Ascoli Piceno, contains, Monteprandone]
  • A. Monteprandone chosen
    Monteprandone is a hilltop town and comune in Italy’s Marche region, known for its medieval historic center and views over the surrounding Piceno countryside.
  • B. Montagnola
    Montagnola is a village in the Swiss canton of Ticino, known for being the longtime residence and final home of writer Hermann Hesse.
  • C. Colle di Nava
    Colle di Nava is a mountain pass in the Ligurian Alps of northwestern Italy, serving as a key route between the Ligurian coast and the Piedmont region.
  • D. Montagnana
    Montagnana is a historic walled town in the Veneto region of northern Italy, renowned for its remarkably well-preserved medieval fortifications.
  • E. Arzerello
    Arzerello is a locality or frazione within the municipality of Piove di Sacco in the Veneto region of northern Italy.
  • 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_69d81c583b0081909e408a17db517a21 completed April 9, 2026, 9:38 p.m.
NER Named-entity recognition batch_69de0227f2c48190983ccc9395e4e7a2 completed April 14, 2026, 9 a.m.
NED1 Entity disambiguation (via context triple) batch_69fbac7e59188190ad28707ba363e341 completed May 6, 2026, 9:02 p.m.
Created at: April 9, 2026, 10:10 p.m.