Triple

T26439605
Position Surface form Disambiguated ID Type / Status
Subject Church of the Nunziatella, Naples E665049 entity
Predicate locatedIn P40 FINISHED
Object Quartiere San Ferdinando
Quartiere San Ferdinando is a historic central district of Naples, Italy, known for its elegant architecture, proximity to the waterfront, and concentration of important religious and cultural landmarks.
E1726658 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: Quartiere San Ferdinando | Statement: [Church of the Nunziatella, Naples, locatedIn, Quartiere San Ferdinando]
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: Quartiere San Ferdinando
Triple: [Church of the Nunziatella, Naples, locatedIn, Quartiere San Ferdinando]
Generated description
Quartiere San Ferdinando is a historic central district of Naples, Italy, known for its elegant architecture, proximity to the waterfront, and concentration of important religious and cultural landmarks.

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_69ee883c851881909e2ab04efbb3c5fe completed April 26, 2026, 9:48 p.m.
NER Named-entity recognition batch_69f6121a29408190af33e7a709a8a65f completed May 2, 2026, 3:02 p.m.
NED1 Entity disambiguation (via context triple) batch_6a11aecdb59881908ea101f3d86d0f34 completed May 23, 2026, 1:42 p.m.
NEDg Description generation batch_6a11b2c94adc819094e6b7ce0087d8e0 completed May 23, 2026, 1:59 p.m.
NED2 Entity disambiguation (via description) batch_6a11b33845e8819091d97a8198007f76 completed May 23, 2026, 2:01 p.m.
Created at: April 26, 2026, 11:57 p.m.