Triple

T35655718
Position Surface form Disambiguated ID Type / Status
Subject Cagliari historic center E1030278 entity
Predicate containsLandmark P1098 FINISHED
Object Basilica di San Saturnino
The Basilica di San Saturnino is an ancient early Christian church in Cagliari, Sardinia, renowned as one of the island’s oldest and most important religious monuments.
E2151649 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: Basilica di San Saturnino | Statement: [Cagliari historic center, containsLandmark, Basilica di San Saturnino]
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: Basilica di San Saturnino
Triple: [Cagliari historic center, containsLandmark, Basilica di San Saturnino]
Generated description
The Basilica di San Saturnino is an ancient early Christian church in Cagliari, Sardinia, renowned as one of the island’s oldest and most important religious monuments.

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_69f76e0938088190a8f199631e97dec3 completed May 3, 2026, 3:47 p.m.
NER Named-entity recognition batch_69f79f7760dc819093f81b4e6d4db793 completed May 3, 2026, 7:18 p.m.
NED1 Entity disambiguation (via context triple) batch_6a38727fb4cc8190b1b2261d89e0071d completed June 21, 2026, 11:23 p.m.
NEDg Description generation batch_6a3873e563c08190b7f44540f2fe455f completed June 21, 2026, 11:29 p.m.
NED2 Entity disambiguation (via description) batch_6a38744cbac081908be126066e8e79e5 completed June 21, 2026, 11:31 p.m.
Created at: May 3, 2026, 4:05 p.m.