Triple

T10350787
Position Surface form Disambiguated ID Type / Status
Subject Spes Bona E243873 entity
Predicate hasWord P35 FINISHED
Object Bona
Bona is a Latin-derived term meaning "good" that appears in various historical and linguistic contexts, including place names and legal or philosophical expressions.
 E857854 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: Bona | Statement: [Spes Bona, hasWord, Bona]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Bona
Context triple: [Spes Bona, hasWord, Bona]
  • A. Bonomi
    Bonomi is an Italian surname most notably associated with Ivanoe Bonomi, a prominent early 20th-century Italian politician and statesman.
  • B. Sofina
    Sofina is a powerful Red Wizard and primary antagonist in the fantasy adventure film "Dungeons & Dragons: Honor Among Thieves."
  • C. Banna
    Banna is the Latin name of Birdoswald Roman Fort, a key military site along Hadrian’s Wall in Roman Britain.
  • D. Rafina
    Rafina is a coastal port town in eastern Attica, Greece, serving as one of the main ferry gateways from the Athens area to the Aegean islands.
  • E. Bahdini
    Bahdini is a Northern Kurdish dialect spoken primarily in parts of Turkey and Iraq.
  • 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: Bona
Triple: [Spes Bona, hasWord, Bona]
Generated description
Bona is a Latin-derived term meaning "good" that appears in various historical and linguistic contexts, including place names and legal or philosophical expressions.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Bona
Target entity description: Bona is a Latin-derived term meaning "good" that appears in various historical and linguistic contexts, including place names and legal or philosophical expressions.
  • A. Bonomi
    Bonomi is an Italian surname most notably associated with Ivanoe Bonomi, a prominent early 20th-century Italian politician and statesman.
  • B. Sofina
    Sofina is a powerful Red Wizard and primary antagonist in the fantasy adventure film "Dungeons & Dragons: Honor Among Thieves."
  • C. Banna
    Banna is the Latin name of Birdoswald Roman Fort, a key military site along Hadrian’s Wall in Roman Britain.
  • D. Rafina
    Rafina is a coastal port town in eastern Attica, Greece, serving as one of the main ferry gateways from the Athens area to the Aegean islands.
  • E. Bahdini
    Bahdini is a Northern Kurdish dialect spoken primarily in parts of Turkey and Iraq.
  • 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_69d381b22b8c8190aaed476be5f872a9 completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d4e94796d881909e0b908de63a1aa3 completed April 7, 2026, 11:23 a.m.
NED1 Entity disambiguation (via context triple) batch_69d75095625c819082d4d0976a193e6c completed April 9, 2026, 7:09 a.m.
NEDg Description generation batch_69d7618da0188190901026dd51ceaa46 completed April 9, 2026, 8:21 a.m.
NED2 Entity disambiguation (via description) batch_69d77045ea988190bd8e31f5f636f69b completed April 9, 2026, 9:24 a.m.
Created at: April 6, 2026, 11:57 a.m.