Triple

T26888271
Position Surface form Disambiguated ID Type / Status
Subject Stadio Adriatico – Giovanni Cornacchia E677102 entity
Predicate namedAfter P63 FINISHED
Object Giovanni Cornacchia
Giovanni Cornacchia was an Italian athlete and hurdler from Pescara, after whom the Stadio Adriatico – Giovanni Cornacchia stadium is named.
E1743177 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: Giovanni Cornacchia | Statement: [Stadio Adriatico – Giovanni Cornacchia, namedAfter, Giovanni Cornacchia]
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: Giovanni Cornacchia
Triple: [Stadio Adriatico – Giovanni Cornacchia, namedAfter, Giovanni Cornacchia]
Generated description
Giovanni Cornacchia was an Italian athlete and hurdler from Pescara, after whom the Stadio Adriatico – Giovanni Cornacchia stadium is named.

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_69eee9bc0c90819085608c8bdc513a57 completed April 27, 2026, 4:44 a.m.
NER Named-entity recognition batch_69f61f65926c8190a7028986658e966e completed May 2, 2026, 3:59 p.m.
NED1 Entity disambiguation (via context triple) batch_6a12136b555881909df03ff438f7461d completed May 23, 2026, 8:51 p.m.
NEDg Description generation batch_6a12143774a0819094274f9c58871f16 completed May 23, 2026, 8:55 p.m.
NED2 Entity disambiguation (via description) batch_6a1214e92af48190b857bf935b0fd49d completed May 23, 2026, 8:58 p.m.
Created at: April 27, 2026, 5:43 a.m.