Triple

T30439585
Position Surface form Disambiguated ID Type / Status
Subject Ostuni E774403 entity
Predicate hasPart P35 FINISHED
Object Piazza della Libertà
Piazza della Libertà is the main historic square of Ostuni, Italy, known for its baroque architecture, lively social atmosphere, and prominent monuments such as the Column of Sant'Oronzo.
E1956888 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 Libertà | Statement: [Ostuni, hasPart, Piazza della Libertà]
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 Libertà
Triple: [Ostuni, hasPart, Piazza della Libertà]
Generated description
Piazza della Libertà is the main historic square of Ostuni, Italy, known for its baroque architecture, lively social atmosphere, and prominent monuments such as the Column of Sant'Oronzo.

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_69f22492d2a88190995ce8745d9becaa completed April 29, 2026, 3:32 p.m.
NER Named-entity recognition batch_69f686977f7881909d3f26af6804dd01 completed May 2, 2026, 11:19 p.m.
NED1 Entity disambiguation (via context triple) batch_6a2a1e07b7fc8190905a417c5d80b17c completed June 11, 2026, 2:31 a.m.
NEDg Description generation batch_6a2a37880a248190a4344241947c9e41 completed June 11, 2026, 4:20 a.m.
NED2 Entity disambiguation (via description) batch_6a2a3b5525f48190901151dee66980f1 completed June 11, 2026, 4:36 a.m.
Created at: April 29, 2026, 8:08 p.m.