Triple

T7488396
Position Surface form Disambiguated ID Type / Status
Subject Eóganán mac Óengusa E176940 entity
Predicate nameElement P27866 FINISHED
Object Óengusa
Óengusa is an Old Irish personal name, historically borne by early medieval Gaelic figures and preserved in various patronymic forms.
 E667719 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: Óengusa | Statement: [Eóganán mac Óengusa, nameElement, Óengusa]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Óengusa
Context triple: [Eóganán mac Óengusa, nameElement, Óengusa]
  • A. Estyn
    Estyn is the education and training inspectorate for Wales, responsible for evaluating the quality and standards of schools, colleges, and other learning providers.
  • B. Velkua
    Velkua is a former island municipality in southwestern Finland known for its coastal archipelago landscape in the Baltic Sea.
  • C. Anga
    Anga was an ancient kingdom in the eastern Indian subcontinent, often noted in epic literature as the realm ruled by the warrior Karna.
  • D. Hannoa
    Hannoa is a small genus of flowering plants in the quassia family Simaroubaceae, known for its tropical trees and shrubs often containing bitter compounds.
  • E. Autlense
    An Autlense is a resident or native of Autlán de Navarro, a municipality in the state of Jalisco, Mexico.
  • 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: Óengusa
Triple: [Eóganán mac Óengusa, nameElement, Óengusa]
Generated description
Óengusa is an Old Irish personal name, historically borne by early medieval Gaelic figures and preserved in various patronymic forms.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Óengusa
Target entity description: Óengusa is an Old Irish personal name, historically borne by early medieval Gaelic figures and preserved in various patronymic forms.
  • A. Estyn
    Estyn is the education and training inspectorate for Wales, responsible for evaluating the quality and standards of schools, colleges, and other learning providers.
  • B. Velkua
    Velkua is a former island municipality in southwestern Finland known for its coastal archipelago landscape in the Baltic Sea.
  • C. Anga
    Anga was an ancient kingdom in the eastern Indian subcontinent, often noted in epic literature as the realm ruled by the warrior Karna.
  • D. Hannoa
    Hannoa is a small genus of flowering plants in the quassia family Simaroubaceae, known for its tropical trees and shrubs often containing bitter compounds.
  • E. Autlense
    An Autlense is a resident or native of Autlán de Navarro, a municipality in the state of Jalisco, Mexico.
  • 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_69c69f24ac508190bb98fe927c0bd065 completed March 27, 2026, 3:15 p.m.
NER Named-entity recognition batch_69c6f55965ac81909d3c3a5422b22d44 completed March 27, 2026, 9:23 p.m.
NED1 Entity disambiguation (via context triple) batch_69c83c6d7dc08190b5d030e3eff9b108 completed March 28, 2026, 8:39 p.m.
NEDg Description generation batch_69c83d7100f081909e69801db3628c30 completed March 28, 2026, 8:43 p.m.
NED2 Entity disambiguation (via description) batch_69c83dc9102881908e17512d3a14990a completed March 28, 2026, 8:44 p.m.
Created at: March 27, 2026, 3:43 p.m.