Triple

T14739113
Position Surface form Disambiguated ID Type / Status
Subject Ciociaria E346295 entity
Predicate hasMajorTown P316 FINISHED
Object Serrone
Serrone is a small Italian hill town in the Lazio region, known for its scenic position in the Ciociaria area and its traditional rural character.
E1118038 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: Serrone | Statement: [Ciociaria, hasMajorTown, Serrone]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Serrone
Context triple: [Ciociaria, hasMajorTown, Serrone]
  • A. Caprile
    Caprile is a surname associated with the architectural firm Lohan Caprile Goettsch Architects.
  • B. Garessio
    Garessio is a historic town in the Piedmont region of northwestern Italy, situated in a mountainous area near the Ligurian border.
  • C. Vaccaro
    Vaccaro is an Italian-origin surname borne by various notable individuals in fields such as acting, sports, and business.
  • D. Fidenza
    Fidenza is a town in the Emilia-Romagna region of northern Italy, known for its historic center and Romanesque cathedral.
  • E. Mucia
    Mucia was an ancient Roman noble family (gens) to which the patrician Mucia Tertia belonged.
  • 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: Serrone
Triple: [Ciociaria, hasMajorTown, Serrone]
Generated description
Serrone is a small Italian hill town in the Lazio region, known for its scenic position in the Ciociaria area and its traditional rural character.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Serrone
Target entity description: Serrone is a small Italian hill town in the Lazio region, known for its scenic position in the Ciociaria area and its traditional rural character.
  • A. Caprile
    Caprile is a surname associated with the architectural firm Lohan Caprile Goettsch Architects.
  • B. Garessio
    Garessio is a historic town in the Piedmont region of northwestern Italy, situated in a mountainous area near the Ligurian border.
  • C. Vaccaro
    Vaccaro is an Italian-origin surname borne by various notable individuals in fields such as acting, sports, and business.
  • D. Fidenza
    Fidenza is a town in the Emilia-Romagna region of northern Italy, known for its historic center and Romanesque cathedral.
  • E. Mucia
    Mucia was an ancient Roman noble family (gens) to which the patrician Mucia Tertia belonged.
  • 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_69d822e6f1c88190bc494d491a907114 completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69dec73264848190be23c5f0260cbe13 completed April 14, 2026, 11:01 p.m.
NED1 Entity disambiguation (via context triple) batch_69fdfb91fdf88190bdcc9a93289f6b7f completed May 8, 2026, 3:04 p.m.
NEDg Description generation batch_69fe032bd640819081f4ea36a1503c21 completed May 8, 2026, 3:37 p.m.
NED2 Entity disambiguation (via description) batch_69fe04120db08190aa903ccc6ddd2267 completed May 8, 2026, 3:41 p.m.
Created at: April 10, 2026, 1:29 a.m.