Triple

T4104551
Position Surface form Disambiguated ID Type / Status
Subject House of Aviz E88418 entity
Predicate namedAfter P63 FINISHED
Object Aviz
Aviz is a historic town in Portugal known for giving its name to the Portuguese royal House of Aviz.
 E413181 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: Aviz | Statement: [House of Aviz, namedAfter, Aviz]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Aviz
Context triple: [House of Aviz, namedAfter, Aviz]
  • A. Avsola
    Avsola is a biosimilar monoclonal antibody to infliximab used to treat various autoimmune inflammatory conditions.
  • B. Alaior
    Alaior is a historic inland town and municipality on the Spanish island of Menorca, known for its traditional architecture and local cheese production.
  • C. Olzino
    Olzino is a locality or subdivision within the municipality of Cernobbio in the Lombardy region of northern Italy.
  • D. Balzar
    Balzar is a town and agricultural center in coastal Ecuador, known for its rice and banana production within Guayas Province.
  • E. Argobba
    Argobba is an endangered South Semitic language spoken by the Argobba people in central Ethiopia.
  • 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: Aviz
Triple: [House of Aviz, namedAfter, Aviz]
Generated description
Aviz is a historic town in Portugal known for giving its name to the Portuguese royal House of Aviz.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Aviz
Target entity description: Aviz is a historic town in Portugal known for giving its name to the Portuguese royal House of Aviz.
  • A. Avsola
    Avsola is a biosimilar monoclonal antibody to infliximab used to treat various autoimmune inflammatory conditions.
  • B. Alaior
    Alaior is a historic inland town and municipality on the Spanish island of Menorca, known for its traditional architecture and local cheese production.
  • C. Olzino
    Olzino is a locality or subdivision within the municipality of Cernobbio in the Lombardy region of northern Italy.
  • D. Balzar
    Balzar is a town and agricultural center in coastal Ecuador, known for its rice and banana production within Guayas Province.
  • E. Argobba
    Argobba is an endangered South Semitic language spoken by the Argobba people in central Ethiopia.
  • 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_69aed9484fb881909146f4c772ad277c completed March 9, 2026, 2:29 p.m.
NER Named-entity recognition batch_69aefd31bad88190b850d1dcba14de60 completed March 9, 2026, 5:02 p.m.
NED1 Entity disambiguation (via context triple) batch_69b56b7cdc088190a63f6c6d39ca4350 completed March 14, 2026, 2:06 p.m.
NEDg Description generation batch_69b56c29c72081909e6ef890dde593dd completed March 14, 2026, 2:09 p.m.
NED2 Entity disambiguation (via description) batch_69b56ca671d0819097760161832998b0 completed March 14, 2026, 2:11 p.m.
Created at: March 9, 2026, 3:40 p.m.