Triple

T26405037
Position Surface form Disambiguated ID Type / Status
Subject Monte Pelmo E663808 entity
Predicate nearestTown P350 FINISHED
Object Zoppè di Cadore
Zoppè di Cadore is a small mountain village in the Veneto region of northern Italy, nestled in the Dolomites and known for its scenic alpine landscapes and traditional Cadore culture.
E1733465 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: Zoppè di Cadore | Statement: [Monte Pelmo, nearestTown, Zoppè di Cadore]
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: Zoppè di Cadore
Triple: [Monte Pelmo, nearestTown, Zoppè di Cadore]
Generated description
Zoppè di Cadore is a small mountain village in the Veneto region of northern Italy, nestled in the Dolomites and known for its scenic alpine landscapes and traditional Cadore culture.

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_69ee883931888190901be96d75ee23cc completed April 26, 2026, 9:48 p.m.
NER Named-entity recognition batch_69f610f727ac819099df3683c15dc6cc completed May 2, 2026, 2:57 p.m.
NED1 Entity disambiguation (via context triple) batch_6a11ec01bd3081908585388a36299898 completed May 23, 2026, 6:03 p.m.
NEDg Description generation batch_6a11ecab0ab08190847f4751971939ec completed May 23, 2026, 6:06 p.m.
NED2 Entity disambiguation (via description) batch_6a11ed32b3648190b32aa4fd2aae2643 completed May 23, 2026, 6:08 p.m.
Created at: April 26, 2026, 11:34 p.m.