Triple

T29418158
Position Surface form Disambiguated ID Type / Status
Subject Palazzo della Farnesina E746080 entity
Predicate nearby P350 FINISHED
Object Foro Italico sports complex
The Foro Italico sports complex is a large multi-sport facility in Rome, Italy, known for its monumental Fascist-era architecture and for hosting major events such as the Italian Open tennis tournament.
E1500727 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: Foro Italico sports complex | Statement: [Palazzo della Farnesina, nearby, Foro Italico sports complex]
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: Foro Italico sports complex
Triple: [Palazzo della Farnesina, nearby, Foro Italico sports complex]
Generated description
The Foro Italico sports complex is a large multi-sport facility in Rome, Italy, known for its monumental Fascist-era architecture and for hosting major events such as the Italian Open tennis tournament.

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_69f0a79f6d5c8190a350baed0157e06f completed April 28, 2026, 12:27 p.m.
NER Named-entity recognition batch_69f66a677f548190a696da12ab251cd8 completed May 2, 2026, 9:19 p.m.
NED1 Entity disambiguation (via context triple) batch_6a25f1038b948190809195eca951caf3 completed June 7, 2026, 10:30 p.m.
NEDg Description generation batch_6a25f511e960819093280d75cefec6fd completed June 7, 2026, 10:47 p.m.
NED2 Entity disambiguation (via description) batch_6a25f92f6744819093a671170bd83115 completed June 7, 2026, 11:05 p.m.
Created at: April 28, 2026, 3:02 p.m.