Triple

T9364793
Position Surface form Disambiguated ID Type / Status
Subject Province of Salerno E225372 entity
Predicate includesTown P847 FINISHED
Object Eboli
Eboli is a historic town in southern Italy’s Campania region, known for its agricultural traditions and its association with Carlo Levi’s book "Christ Stopped at Eboli."
 E794763 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: Eboli | Statement: [Province of Salerno, includesTown, Eboli]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Eboli
Context triple: [Province of Salerno, includesTown, Eboli]
  • A. Germanotta
    Germanotta is the Italian-origin surname of American pop icon Lady Gaga (Stefani Joanne Angelina Germanotta) and her family.
  • B. Bargnani
    Bargnani is an Italian surname most prominently associated with former NBA basketball player Andrea Bargnani.
  • C. Bisacquino
    Bisacquino is a small town in the Sicilian province of Palermo, Italy, known as the birthplace of film director Frank Capra.
  • D. Mulazzano
    Mulazzano is a small municipality in the Lombardy region of northern Italy, situated within commuting distance of Milan.
  • E. Ginostra
    Ginostra is a tiny, remote village on the southwestern side of the volcanic island of Stromboli in Italy’s Aeolian archipelago, known for its isolation and access only by boat.
  • 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: Eboli
Triple: [Province of Salerno, includesTown, Eboli]
Generated description
Eboli is a historic town in southern Italy’s Campania region, known for its agricultural traditions and its association with Carlo Levi’s book "Christ Stopped at Eboli."
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Eboli
Target entity description: Eboli is a historic town in southern Italy’s Campania region, known for its agricultural traditions and its association with Carlo Levi’s book "Christ Stopped at Eboli."
  • A. Germanotta
    Germanotta is the Italian-origin surname of American pop icon Lady Gaga (Stefani Joanne Angelina Germanotta) and her family.
  • B. Bargnani
    Bargnani is an Italian surname most prominently associated with former NBA basketball player Andrea Bargnani.
  • C. Bisacquino
    Bisacquino is a small town in the Sicilian province of Palermo, Italy, known as the birthplace of film director Frank Capra.
  • D. Mulazzano
    Mulazzano is a small municipality in the Lombardy region of northern Italy, situated within commuting distance of Milan.
  • E. Ginostra
    Ginostra is a tiny, remote village on the southwestern side of the volcanic island of Stromboli in Italy’s Aeolian archipelago, known for its isolation and access only by boat.
  • 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_69ca842bdd648190904131d58620d448 completed March 30, 2026, 2:09 p.m.
NER Named-entity recognition batch_69cd503fd7f081909655e2a880c84834 completed April 1, 2026, 5:05 p.m.
NED1 Entity disambiguation (via context triple) batch_69d0f3f3c420819084b65fd4537aaf93 completed April 4, 2026, 11:20 a.m.
NEDg Description generation batch_69d0f619e91081909c2ec17e89376295 completed April 4, 2026, 11:29 a.m.
NED2 Entity disambiguation (via description) batch_69d0f6ce1a0c8190aca34958935e0e59 completed April 4, 2026, 11:32 a.m.
Created at: March 30, 2026, 7:42 p.m.