Triple

T30283774
Position Surface form Disambiguated ID Type / Status
Subject Foligno Cathedral E770174 entity
Predicate hasMainFacadeFacing P20200 FINISHED
Object Piazza della Repubblica, Foligno
Piazza della Repubblica in Foligno is the city’s central historic square, serving as a civic and religious hub surrounded by notable buildings including the cathedral and municipal palaces.
E1907175 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: Piazza della Repubblica, Foligno | Statement: [Foligno Cathedral, hasMainFacadeFacing, Piazza della Repubblica, Foligno]
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: Piazza della Repubblica, Foligno
Triple: [Foligno Cathedral, hasMainFacadeFacing, Piazza della Repubblica, Foligno]
Generated description
Piazza della Repubblica in Foligno is the city’s central historic square, serving as a civic and religious hub surrounded by notable buildings including the cathedral and municipal palaces.

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_69f224868fa8819099127eaf8855a28f completed April 29, 2026, 3:32 p.m.
NER Named-entity recognition batch_69f6810772408190b1d8db5d0b9bfbaa completed May 2, 2026, 10:56 p.m.
NED1 Entity disambiguation (via context triple) batch_6a276efeab848190a16c21e89db133ba completed June 9, 2026, 1:40 a.m.
NEDg Description generation batch_6a276f94e1a48190ad495f35d898d234 completed June 9, 2026, 1:42 a.m.
NED2 Entity disambiguation (via description) batch_6a2770212730819089e1e0487460f634 completed June 9, 2026, 1:45 a.m.
Created at: April 29, 2026, 7:45 p.m.