Triple

T24166276
Position Surface form Disambiguated ID Type / Status
Subject Orio al Serio E598994 entity
Predicate officialName P66 FINISHED
Object Comune di Orio al Serio
Comune di Orio al Serio is a municipality in the Province of Bergamo in Lombardy, northern Italy, best known for hosting the Orio al Serio International Airport serving Milan and the surrounding region.
E1622042 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 Orio al Serio | Statement: [Orio al Serio, officialName, Comune di Orio al Serio]
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 Orio al Serio
Triple: [Orio al Serio, officialName, Comune di Orio al Serio]
Generated description
Comune di Orio al Serio is a municipality in the Province of Bergamo in Lombardy, northern Italy, best known for hosting the Orio al Serio International Airport serving Milan and the surrounding 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_69e288cbd62881909de32ca64a70c17b completed April 17, 2026, 7:23 p.m.
NER Named-entity recognition batch_69f1e176774c8190b99aca334f3d8af6 completed April 29, 2026, 10:46 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0fad397648819090979143f6e7cf17 completed May 22, 2026, 1:11 a.m.
NEDg Description generation batch_6a0fae9a10808190b4cc48c27f174428 completed May 22, 2026, 1:17 a.m.
NED2 Entity disambiguation (via description) batch_6a0fb006f43481908b4a3f3b20b29da7 completed May 22, 2026, 1:23 a.m.
Created at: April 17, 2026, 11:32 p.m.