Triple

T31958740
Position Surface form Disambiguated ID Type / Status
Subject Viali di Circonvallazione E815975 entity
Predicate hasPart P35 FINISHED
Object Fortezza da Basso area
Fortezza da Basso area is a prominent exhibition and conference district in Florence, Italy, centered around the historic Fortezza da Basso fortress and its surrounding urban spaces.
 E1983990 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: Fortezza da Basso area | Statement: [Viali di Circonvallazione, hasPart, Fortezza da Basso area]
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: Fortezza da Basso area
Triple: [Viali di Circonvallazione, hasPart, Fortezza da Basso area]
Generated description
Fortezza da Basso area is a prominent exhibition and conference district in Florence, Italy, centered around the historic Fortezza da Basso fortress and its surrounding urban spaces.

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_69f348f4ec708190abbb2a7c3ed58844 completed April 30, 2026, 12:20 p.m.
NER Named-entity recognition batch_69f6b2b0d044819085a28c5114423542 completed May 3, 2026, 2:28 a.m.
NED1 Entity disambiguation (via context triple) batch_6a2e8a51c14481909238a0b56934bd21 completed June 14, 2026, 11:02 a.m.
NEDg Description generation batch_6a2e8ad753688190829398ff32cf09e8 completed June 14, 2026, 11:04 a.m.
NED2 Entity disambiguation (via description) batch_6a2e8b9c48a48190a1c5bef0fe49f633 completed June 14, 2026, 11:08 a.m.
Created at: May 1, 2026, 12:08 a.m.