Triple

T15319606
Position Surface form Disambiguated ID Type / Status
Subject Varedo E366252 entity
Predicate hasLocalGovernment P2820 FINISHED
Object Comune di Varedo
Comune di Varedo is the municipal governing body responsible for administering the town of Varedo in Italy.
E1150435 NE FINISHED

How this triple was built (4 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 Varedo | Statement: [Varedo, hasLocalGovernment, Comune di Varedo]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Comune di Varedo
Context triple: [Varedo, hasLocalGovernment, Comune di Varedo]
  • A. 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.
  • B. Comune di Vimercate
    Comune di Vimercate is the municipal government and administrative authority of the town of Vimercate in the Lombardy region of northern Italy.
  • C. Comune di Rho
    Comune di Rho is the municipal government and administrative entity of Rho, a town in the Metropolitan City of Milan in northern Italy.
  • D. Comune di Collegno
    Comune di Collegno is the municipal government of Collegno, a town in the Metropolitan City of Turin in the Piedmont region of northern Italy.
  • E. Comune di Como
    Comune di Como is the modern Italian municipal administration governing the city of Como in the Lombardy region of northern Italy.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Comune di Varedo
Triple: [Varedo, hasLocalGovernment, Comune di Varedo]
Generated description
Comune di Varedo is the municipal governing body responsible for administering the town of Varedo in Italy.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Comune di Varedo
Target entity description: Comune di Varedo is the municipal governing body responsible for administering the town of Varedo in Italy.
  • A. 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.
  • B. Comune di Vimercate
    Comune di Vimercate is the municipal government and administrative authority of the town of Vimercate in the Lombardy region of northern Italy.
  • C. Comune di Rho
    Comune di Rho is the municipal government and administrative entity of Rho, a town in the Metropolitan City of Milan in northern Italy.
  • D. Comune di Collegno
    Comune di Collegno is the municipal government of Collegno, a town in the Metropolitan City of Turin in the Piedmont region of northern Italy.
  • E. Comune di Como
    Comune di Como is the modern Italian municipal administration governing the city of Como in the Lombardy region of northern Italy.
  • F. None of above. chosen

Provenance (5 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_69d85a121520819093dcce999fdefe1a completed April 10, 2026, 2:01 a.m.
NER Named-entity recognition batch_69e03dd356b881908f054b64eee6a371 completed April 16, 2026, 1:39 a.m.
NED1 Entity disambiguation (via context triple) batch_69fef8a9085881909904152c32b0fed1 completed May 9, 2026, 9:04 a.m.
NEDg Description generation batch_69fefc8251d08190bf8a764f83f89d7e completed May 9, 2026, 9:21 a.m.
NED2 Entity disambiguation (via description) batch_69fefd6c2bf88190b17a03be7b3353e3 completed May 9, 2026, 9:25 a.m.
Created at: April 10, 2026, 3:16 a.m.