Triple

T9984749
Position Surface form Disambiguated ID Type / Status
Subject Estella E196540 entity
Predicate hasLocalName P6353 FINISHED
Object Lizarra
Lizarra is the Basque name for the historic town of Estella in the Navarre region of northern Spain.
 E834427 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: Lizarra | Statement: [Estella, hasLocalName, Lizarra]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Lizarra
Context triple: [Estella, hasLocalName, Lizarra]
  • A. Zelarayán
    Zelarayán is a Spanish-language surname most notably borne by Argentine-born professional footballer Lucas Zelarayán.
  • B. Arnalta
    Arnalta is a comic nurse character in Claudio Monteverdi’s opera "L'incoronazione di Poppea," known for her earthy wisdom and humorous commentary.
  • C. Luvia
    Luvia is a coastal municipality in western Finland, located in the Satakunta region along the Gulf of Bothnia.
  • D. Liébana
    Liébana is a mountainous inland comarca in western Cantabria, Spain, known for its dramatic landscapes, rural villages, and historic monasteries such as Santo Toribio de Liébana.
  • E. Dainzú
    Dainzú is an ancient Zapotec archaeological site in Oaxaca, Mexico, notable for its terraced architecture and carved stone reliefs depicting ballgame scenes.
  • 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: Lizarra
Triple: [Estella, hasLocalName, Lizarra]
Generated description
Lizarra is the Basque name for the historic town of Estella in the Navarre region of northern Spain.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Lizarra
Target entity description: Lizarra is the Basque name for the historic town of Estella in the Navarre region of northern Spain.
  • A. Zelarayán
    Zelarayán is a Spanish-language surname most notably borne by Argentine-born professional footballer Lucas Zelarayán.
  • B. Arnalta
    Arnalta is a comic nurse character in Claudio Monteverdi’s opera "L'incoronazione di Poppea," known for her earthy wisdom and humorous commentary.
  • C. Luvia
    Luvia is a coastal municipality in western Finland, located in the Satakunta region along the Gulf of Bothnia.
  • D. Liébana
    Liébana is a mountainous inland comarca in western Cantabria, Spain, known for its dramatic landscapes, rural villages, and historic monasteries such as Santo Toribio de Liébana.
  • E. Dainzú
    Dainzú is an ancient Zapotec archaeological site in Oaxaca, Mexico, notable for its terraced architecture and carved stone reliefs depicting ballgame scenes.
  • 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_69ca82efbce081908179b4b9c65096eb completed March 30, 2026, 2:04 p.m.
NER Named-entity recognition batch_69cdb8bf5adc81908c862b75053dd8f1 completed April 2, 2026, 12:30 a.m.
NED1 Entity disambiguation (via context triple) batch_69d257fe0e348190b55fbd38e21cff7c completed April 5, 2026, 12:39 p.m.
NEDg Description generation batch_69d2594b5e5081908f7cc4af4d10b4a8 completed April 5, 2026, 12:44 p.m.
NED2 Entity disambiguation (via description) batch_69d25a30ad98819084dcd305e709c34d completed April 5, 2026, 12:48 p.m.
Created at: March 30, 2026, 8:49 p.m.