Triple

T26805943
Position Surface form Disambiguated ID Type / Status
Subject Derby with Napoli E671835 entity
Predicate hasFanBaseRivalry P53223 FINISHED
Object Napoli supporters
Napoli supporters are the passionate and fiercely loyal fan base of SSC Napoli, renowned for their intense devotion, vibrant match atmospheres, and strong regional identity in southern Italy.
E1741533 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: Napoli supporters | Statement: [Derby with Napoli, hasFanBaseRivalry, Napoli supporters]
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: Napoli supporters
Triple: [Derby with Napoli, hasFanBaseRivalry, Napoli supporters]
Generated description
Napoli supporters are the passionate and fiercely loyal fan base of SSC Napoli, renowned for their intense devotion, vibrant match atmospheres, and strong regional identity in southern Italy.

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_69eeb3225a3c8190aaf6746efeded2f3 completed April 27, 2026, 12:51 a.m.
NER Named-entity recognition batch_69f61a1c3b5081908b78ae264c66ffcc completed May 2, 2026, 3:37 p.m.
NED1 Entity disambiguation (via context triple) batch_6a12097220e88190891f1a34cb6c3da6 completed May 23, 2026, 8:09 p.m.
NEDg Description generation batch_6a120a6fdd60819090c963c9a5577186 completed May 23, 2026, 8:13 p.m.
NED2 Entity disambiguation (via description) batch_6a120b329b30819089e007135e13dc21 completed May 23, 2026, 8:16 p.m.
Created at: April 27, 2026, 4:26 a.m.