Triple

T9907223
Position Surface form Disambiguated ID Type / Status
Subject Palazzo delle Paure E185041 entity
Predicate operator P179 FINISHED
Object Comune di Lecco E708093 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: Comune di Lecco | Statement: [Palazzo delle Paure, operator, Comune di Lecco]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Comune di Lecco
Context triple: [Palazzo delle Paure, operator, Comune di Lecco]
  • A. Municipality of Lecco chosen
    The Municipality of Lecco is the local government authority of the city of Lecco in Lombardy, northern Italy.
  • B. Comune di Varese
    Comune di Varese is the municipal administrative authority responsible for governing the city of Varese in the Lombardy region of northern Italy.
  • C. Comune di Baveno
    Comune di Baveno is the municipal administrative authority responsible for governing the town of Baveno in Italy.
  • D. Comune di Stresa
    The Comune di Stresa is the municipal authority responsible for administering the lakeside town of Stresa on Lake Maggiore in Italy’s Piedmont region.
  • E. Province of Lecco
    The Province of Lecco is an administrative area in the Lombardy region of northern Italy, known for its picturesque towns along the southeastern branch of Lake Como and its surrounding Alpine foothills.
  • 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_69ca8296165881908ca4750701af1f29 completed March 30, 2026, 2:03 p.m.
NER Named-entity recognition batch_69cdb50ec61481908f42bd2aa55d9a6e completed April 2, 2026, 12:15 a.m.
NED1 Entity disambiguation (via context triple) batch_69d20daabd5881908b02da50a640766a completed April 5, 2026, 7:22 a.m.
Created at: March 30, 2026, 8:41 p.m.