Triple

T9642214
Position Surface form Disambiguated ID Type / Status
Subject Baveno E233098 entity
Predicate governingBody P46 FINISHED
Object Comune di Baveno
Comune di Baveno is the municipal administrative authority responsible for governing the town of Baveno in Italy.
 E811261 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 Baveno | Statement: [Baveno, governingBody, Comune di Baveno]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Comune di Baveno
Context triple: [Baveno, governingBody, Comune di Baveno]
  • A. Comune of Verbania
    The Comune of Verbania is a municipality in the Piedmont region of northern Italy, situated on the shores of Lake Maggiore and serving as the capital of the Province of Verbano-Cusio-Ossola.
  • B. Municipality of Lecco
    The Municipality of Lecco is the local government authority of the city of Lecco in Lombardy, northern Italy.
  • C. 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.
  • D. Castellanza
    Castellanza is a town in the Lombardy region of northern Italy, situated in the province of Varese within the industrial Olona Valley.
  • E. Barzio
    Barzio is a small mountain town in northern Italy’s Lombardy region, known as a gateway to the Valsassina area and nearby ski resorts.
  • 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 Baveno
Triple: [Baveno, governingBody, Comune di Baveno]
Generated description
Comune di Baveno is the municipal administrative authority responsible for governing the town of Baveno in Italy.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Comune di Baveno
Target entity description: Comune di Baveno is the municipal administrative authority responsible for governing the town of Baveno in Italy.
  • A. Comune of Verbania
    The Comune of Verbania is a municipality in the Piedmont region of northern Italy, situated on the shores of Lake Maggiore and serving as the capital of the Province of Verbano-Cusio-Ossola.
  • B. Municipality of Lecco
    The Municipality of Lecco is the local government authority of the city of Lecco in Lombardy, northern Italy.
  • C. 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.
  • D. Castellanza
    Castellanza is a town in the Lombardy region of northern Italy, situated in the province of Varese within the industrial Olona Valley.
  • E. Barzio
    Barzio is a small mountain town in northern Italy’s Lombardy region, known as a gateway to the Valsassina area and nearby ski resorts.
  • 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_69ca848a5a908190aad251f4137b0c3a completed March 30, 2026, 2:11 p.m.
NER Named-entity recognition batch_69cd9b7cda388190a38f96d78085f404 completed April 1, 2026, 10:26 p.m.
NED1 Entity disambiguation (via context triple) batch_69d1824e68a0819089c8e6e414575c5f completed April 4, 2026, 9:27 p.m.
NEDg Description generation batch_69d182fe6854819097b6fe60926c2a48 completed April 4, 2026, 9:30 p.m.
NED2 Entity disambiguation (via description) batch_69d1835c916081908e3e1bb1e5499424 completed April 4, 2026, 9:32 p.m.
Created at: March 30, 2026, 8:12 p.m.