Triple

T14034787
Position Surface form Disambiguated ID Type / Status
Subject Sezze E337682 entity
Predicate sharesBorderWith P224 FINISHED
Object Bassiano
Bassiano is a small hill town in the Lazio region of central Italy, known for its medieval architecture and scenic setting in the Lepini Mountains.
E1077561 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: Bassiano | Statement: [Sezze, sharesBorderWith, Bassiano]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bassiano
Context triple: [Sezze, sharesBorderWith, Bassiano]
  • A. Nerio
    Nerio is an Italian masculine given name of ancient origin, historically borne by several notable figures including medieval nobles.
  • B. Sebastiano
    Sebastiano is an Italian given name, commonly used as the Italian form of Sebastian.
  • C. Sebino
    Sebino is the Italian name for Lake Iseo, a picturesque glacial lake in northern Italy known for its scenic beauty and surrounding wine region.
  • D. Giacinto
    Giacinto is an Italian masculine given name of Latin origin, traditionally associated with the name Hyacinth.
  • E. Biagio
    Biagio is the Italian given name corresponding to Blaise, used both as a first name and a surname in Italian-speaking contexts.
  • 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: Bassiano
Triple: [Sezze, sharesBorderWith, Bassiano]
Generated description
Bassiano is a small hill town in the Lazio region of central Italy, known for its medieval architecture and scenic setting in the Lepini Mountains.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Bassiano
Target entity description: Bassiano is a small hill town in the Lazio region of central Italy, known for its medieval architecture and scenic setting in the Lepini Mountains.
  • A. Nerio
    Nerio is an Italian masculine given name of ancient origin, historically borne by several notable figures including medieval nobles.
  • B. Sebastiano
    Sebastiano is an Italian given name, commonly used as the Italian form of Sebastian.
  • C. Sebino
    Sebino is the Italian name for Lake Iseo, a picturesque glacial lake in northern Italy known for its scenic beauty and surrounding wine region.
  • D. Giacinto
    Giacinto is an Italian masculine given name of Latin origin, traditionally associated with the name Hyacinth.
  • E. Biagio
    Biagio is the Italian given name corresponding to Blaise, used both as a first name and a surname in Italian-speaking contexts.
  • 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_69d81c664e48819088cbd8f433aeffe5 completed April 9, 2026, 9:38 p.m.
NER Named-entity recognition batch_69de2fac71188190a586049405f1071e completed April 14, 2026, 12:14 p.m.
NED1 Entity disambiguation (via context triple) batch_69fcb65a21088190a14808d09b2b9f42 completed May 7, 2026, 3:57 p.m.
NEDg Description generation batch_69fcc39638688190a57e47b189de841b completed May 7, 2026, 4:53 p.m.
NED2 Entity disambiguation (via description) batch_69fcc450fea881909e3b5bbd96469a8b completed May 7, 2026, 4:56 p.m.
Created at: April 9, 2026, 10:20 p.m.