Triple

T37411787
Position Surface form Disambiguated ID Type / Status
Subject Acquaviva Platani E929589 entity
Predicate partOf P40 FINISHED
Object Metropolitan area of Caltanissetta
The Metropolitan area of Caltanissetta is an administrative and urban region in central Sicily centered on the city of Caltanissetta and encompassing surrounding municipalities.
E2225715 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: Metropolitan area of Caltanissetta | Statement: [Acquaviva Platani, partOf, Metropolitan area of Caltanissetta]
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: Metropolitan area of Caltanissetta
Triple: [Acquaviva Platani, partOf, Metropolitan area of Caltanissetta]
Generated description
The Metropolitan area of Caltanissetta is an administrative and urban region in central Sicily centered on the city of Caltanissetta and encompassing surrounding municipalities.

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_69f76ebde49481908566cd96b37ccc84 completed May 3, 2026, 3:50 p.m.
NER Named-entity recognition batch_69fb8d84b6188190a4f8fa992bd4e458 completed May 6, 2026, 6:50 p.m.
NED1 Entity disambiguation (via context triple) batch_6a407711cfcc819082372a9033677f01 completed June 28, 2026, 1:21 a.m.
NEDg Description generation batch_6a407841ee948190b45372dab14ea45f completed June 28, 2026, 1:26 a.m.
NED2 Entity disambiguation (via description) batch_6a40791b81a481908283707caf3d7394 completed June 28, 2026, 1:30 a.m.
Created at: May 3, 2026, 4:16 p.m.