Triple

T32390944
Position Surface form Disambiguated ID Type / Status
Subject Valsugana valley E827670 entity
Predicate hasAttraction P105 FINISHED
Object Valsugana cycle path
The Valsugana cycle path is a scenic long-distance cycling route in northern Italy that follows the Brenta River through the Valsugana valley, connecting Trentino with the Veneto region.
E2003078 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: Valsugana cycle path | Statement: [Valsugana valley, hasAttraction, Valsugana cycle path]
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: Valsugana cycle path
Triple: [Valsugana valley, hasAttraction, Valsugana cycle path]
Generated description
The Valsugana cycle path is a scenic long-distance cycling route in northern Italy that follows the Brenta River through the Valsugana valley, connecting Trentino with the Veneto region.

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_69f349184e7481909c6c54428cb9cf12 completed April 30, 2026, 12:20 p.m.
NER Named-entity recognition batch_69f6c1d9a0848190b39120e9d669b8a5 completed May 3, 2026, 3:32 a.m.
NED1 Entity disambiguation (via context triple) batch_6a33e8c0b0fc8190af9db558628bc97d completed June 18, 2026, 12:46 p.m.
NEDg Description generation batch_6a33e9a3e9ec8190bd405dd9b00d31d5 completed June 18, 2026, 12:50 p.m.
NED2 Entity disambiguation (via description) batch_6a3417b8096881908e7ff5fca23b39a3 completed June 18, 2026, 4:07 p.m.
Created at: May 1, 2026, 12:52 a.m.