Triple

T14995941
Position Surface form Disambiguated ID Type / Status
Subject Province of Palermo (historical) E373957 entity
Predicate contains P35 FINISHED
Object Camporeale
Camporeale is a small town in western Sicily, Italy, known for its agricultural traditions and wine production.
 E1131224 NE FINISHED

How this triple was built (4 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: Camporeale | Statement: [Province of Palermo (historical), contains, Camporeale]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Camporeale
Context triple: [Province of Palermo (historical), contains, Camporeale]
  • A. Petrocelli
    Petrocelli is an Italian surname most notably associated with former Boston Red Sox All-Star infielder Rico Petrocelli.
  • B. Cipriani
    Cipriani is a surname most prominently associated with Juan Luis Cipriani Thorne, a Peruvian cardinal of the Roman Catholic Church and former Archbishop of Lima.
  • C. Balducci
    Balducci is a member of the group or organization known as The Network.
  • D. Campagnone
    Campagnone is an Italian surname associated with the Campagnone family lineage.
  • E. Massignano
    Massignano is a small Italian municipality in the Marche region, known for its historic hilltop setting and traditional rural character.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
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: Camporeale
Triple: [Province of Palermo (historical), contains, Camporeale]
Generated description
Camporeale is a small town in western Sicily, Italy, known for its agricultural traditions and wine production.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Camporeale
Target entity description: Camporeale is a small town in western Sicily, Italy, known for its agricultural traditions and wine production.
  • A. Petrocelli
    Petrocelli is an Italian surname most notably associated with former Boston Red Sox All-Star infielder Rico Petrocelli.
  • B. Cipriani
    Cipriani is a surname most prominently associated with Juan Luis Cipriani Thorne, a Peruvian cardinal of the Roman Catholic Church and former Archbishop of Lima.
  • C. Balducci
    Balducci is a member of the group or organization known as The Network.
  • D. Campagnone
    Campagnone is an Italian surname associated with the Campagnone family lineage.
  • E. Massignano
    Massignano is a small Italian municipality in the Marche region, known for its historic hilltop setting and traditional rural character.
  • F. None of above. chosen

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_69d85ccc84388190aa151e5173370c8d completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69ded718e4288190b5e144f82299a194 completed April 15, 2026, 12:08 a.m.
NED1 Entity disambiguation (via context triple) batch_69fe969a63f081908bf11783e2a51229 completed May 9, 2026, 2:06 a.m.
NEDg Description generation batch_69fe97609b3481908ed481f9f061b148 completed May 9, 2026, 2:09 a.m.
NED2 Entity disambiguation (via description) batch_69fe980155748190aef4ce876f985ef2 completed May 9, 2026, 2:12 a.m.
Created at: April 10, 2026, 2:53 a.m.