Triple

T1778280
Position Surface form Disambiguated ID Type / Status
Subject Nola E39229 entity
Predicate hasDemonym P191 FINISHED
Object Nolano
Nolano is the Italian demonym for a person from the town of Nola in the Campania region of southern Italy.
E203739 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: Nolano | Statement: [Nola, hasDemonym, Nolano]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Nolano
Context triple: [Nola, hasDemonym, Nolano]
  • A. Dainzú
    Dainzú is an ancient Zapotec archaeological site in Oaxaca, Mexico, notable for its terraced architecture and carved stone reliefs depicting ballgame scenes.
  • B. Paeligni
    The Paeligni were an ancient Italic tribe of central Italy, closely associated with the Samnites and known for their role in early Roman history and the Social War.
  • C. Barellan
    Barellan is a small rural town in the Riverina region of New South Wales, Australia, known for its grain farming and association with tennis champion Evonne Goolagong-Cawley.
  • D. Veltro
    Veltro is the nickname of the Macchi C.205, an Italian World War II fighter aircraft renowned for its speed and agility.
  • E. Sebaste
    Sebaste was an ancient city in the central highlands of Samaria, refounded and expanded by Herod the Great as a major Hellenistic-Roman urban center.
  • 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: Nolano
Triple: [Nola, hasDemonym, Nolano]
Generated description
Nolano is the Italian demonym for a person from the town of Nola in the Campania region of southern Italy.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Nolano
Target entity description: Nolano is the Italian demonym for a person from the town of Nola in the Campania region of southern Italy.
  • A. Dainzú
    Dainzú is an ancient Zapotec archaeological site in Oaxaca, Mexico, notable for its terraced architecture and carved stone reliefs depicting ballgame scenes.
  • B. Paeligni
    The Paeligni were an ancient Italic tribe of central Italy, closely associated with the Samnites and known for their role in early Roman history and the Social War.
  • C. Barellan
    Barellan is a small rural town in the Riverina region of New South Wales, Australia, known for its grain farming and association with tennis champion Evonne Goolagong-Cawley.
  • D. Veltro
    Veltro is the nickname of the Macchi C.205, an Italian World War II fighter aircraft renowned for its speed and agility.
  • E. Sebaste
    Sebaste was an ancient city in the central highlands of Samaria, refounded and expanded by Herod the Great as a major Hellenistic-Roman urban center.
  • 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_69a88630519c8190a17addd83c4a3ef4 completed March 4, 2026, 7:21 p.m.
NER Named-entity recognition batch_69aa64ba92a48190b69da748dfbfc53c completed March 6, 2026, 5:23 a.m.
NED1 Entity disambiguation (via context triple) batch_69adbf4fd0ec8190904f1ad2155c58bf completed March 8, 2026, 6:26 p.m.
NEDg Description generation batch_69adc07e9ebc819082566cc98025b4ae completed March 8, 2026, 6:31 p.m.
NED2 Entity disambiguation (via description) batch_69adc12c894881909c9a82fc9e363a41 completed March 8, 2026, 6:34 p.m.
Created at: March 4, 2026, 7:31 p.m.