Triple

T13049402
Position Surface form Disambiguated ID Type / Status
Subject Lucena E327410 entity
Predicate historicalName P65 FINISHED
Object Eliossana
Eliossana is the medieval Jewish name for the Spanish city of Lucena, historically known for its significant Jewish community and culture.
 E1018308 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: Eliossana | Statement: [Lucena, historicalName, Eliossana]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Eliossana
Context triple: [Lucena, historicalName, Eliossana]
  • A. Eliada
    Eliada is a lesser-known biblical figure mentioned in the Old Testament as one of King David’s sons.
  • B. Erista
    Erista is the internal codename for Nvidia’s original Tegra X1 system-on-chip, notably used in the first-generation Nintendo Switch.
  • C. Altilia
    Altilia is the modern Italian village that encompasses the archaeological remains of the ancient Roman town of Saepinum in the Molise region.
  • D. Reola
    Reola is a village in Tartu County, Estonia, situated just south of the city of Tartu.
  • E. Salora
    Salora was a prominent Finnish electronics manufacturer best known for producing televisions and radios, and it played a key role in the industrial history of Salo, Finland.
  • 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: Eliossana
Triple: [Lucena, historicalName, Eliossana]
Generated description
Eliossana is the medieval Jewish name for the Spanish city of Lucena, historically known for its significant Jewish community and culture.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Eliossana
Target entity description: Eliossana is the medieval Jewish name for the Spanish city of Lucena, historically known for its significant Jewish community and culture.
  • A. Eliada
    Eliada is a lesser-known biblical figure mentioned in the Old Testament as one of King David’s sons.
  • B. Erista
    Erista is the internal codename for Nvidia’s original Tegra X1 system-on-chip, notably used in the first-generation Nintendo Switch.
  • C. Altilia
    Altilia is the modern Italian village that encompasses the archaeological remains of the ancient Roman town of Saepinum in the Molise region.
  • D. Reola
    Reola is a village in Tartu County, Estonia, situated just south of the city of Tartu.
  • E. Salora
    Salora was a prominent Finnish electronics manufacturer best known for producing televisions and radios, and it played a key role in the industrial history of Salo, Finland.
  • 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_69d8076e64308190904fb5c93517c901 completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69d980b8811c81908577f092e2736610 completed April 10, 2026, 10:59 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6cbda9b548190a10a4835b2c75fdc completed May 3, 2026, 4:15 a.m.
NEDg Description generation batch_69f6cd0e88e08190a07468336bb624f0 completed May 3, 2026, 4:20 a.m.
NED2 Entity disambiguation (via description) batch_69f6ce23ca208190960409130c4c52a9 completed May 3, 2026, 4:25 a.m.
Created at: April 9, 2026, 8:57 p.m.