Triple

T7198602
Position Surface form Disambiguated ID Type / Status
Subject Celtiberia E168677 entity
Predicate majorTribe P34576 FINISHED
Object Lusones
The Lusones were an ancient Celtiberian people who inhabited part of the central Iberian Peninsula during the pre-Roman and Roman Republican periods.
 E648676 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: Lusones | Statement: [Celtiberia, majorTribe, Lusones]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Lusones
Context triple: [Celtiberia, majorTribe, Lusones]
  • A. Tasqueña
    Tasqueña is a major transit hub and southern terminus of Mexico City’s Metro Line 2, integrating metro, light rail, and bus services.
  • B. Azaña
    Azaña is the surname of Manuel Azaña, a prominent Spanish politician and writer who served as President of the Second Spanish Republic.
  • C. Amarante
    Amarante is a Portuguese surname most notably associated with Brazilian musician and songwriter Rodrigo Amarante.
  • D. Belasí
    Belasí is the Slovak nickname for HC Slovan Bratislava, referring to the club’s traditional light blue team color.
  • E. Portogruaro
    Portogruaro is a historic town in northeastern Italy’s Veneto region, known for its medieval architecture and canals.
  • 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: Lusones
Triple: [Celtiberia, majorTribe, Lusones]
Generated description
The Lusones were an ancient Celtiberian people who inhabited part of the central Iberian Peninsula during the pre-Roman and Roman Republican periods.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Lusones
Target entity description: The Lusones were an ancient Celtiberian people who inhabited part of the central Iberian Peninsula during the pre-Roman and Roman Republican periods.
  • A. Tasqueña
    Tasqueña is a major transit hub and southern terminus of Mexico City’s Metro Line 2, integrating metro, light rail, and bus services.
  • B. Azaña
    Azaña is the surname of Manuel Azaña, a prominent Spanish politician and writer who served as President of the Second Spanish Republic.
  • C. Amarante
    Amarante is a Portuguese surname most notably associated with Brazilian musician and songwriter Rodrigo Amarante.
  • D. Belasí
    Belasí is the Slovak nickname for HC Slovan Bratislava, referring to the club’s traditional light blue team color.
  • E. Portogruaro
    Portogruaro is a historic town in northeastern Italy’s Veneto region, known for its medieval architecture and canals.
  • 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_69c68a5376748190bb500f03df86e93e completed March 27, 2026, 1:46 p.m.
NER Named-entity recognition batch_69c6e92b8bc08190bfcdd34ce42e3448 completed March 27, 2026, 8:31 p.m.
NED1 Entity disambiguation (via context triple) batch_69c7bfac10c88190ad83da6a137abd27 completed March 28, 2026, 11:46 a.m.
NEDg Description generation batch_69c7c039bb708190b4ac14e19974774a completed March 28, 2026, 11:49 a.m.
NED2 Entity disambiguation (via description) batch_69c7c123c4b48190a76fb869f7abc553 completed March 28, 2026, 11:53 a.m.
Created at: March 27, 2026, 2:52 p.m.