Triple

T8238458
Position Surface form Disambiguated ID Type / Status
Subject Manuel Fraga E192469 entity
Predicate placeOfBirth P1 FINISHED
Object Vilalba
Vilalba is a town in the province of Lugo in Galicia, northwestern Spain, known as the birthplace of several notable Galician political and cultural figures.
 E727757 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: Vilalba | Statement: [Manuel Fraga, placeOfBirth, Vilalba]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Vilalba
Context triple: [Manuel Fraga, placeOfBirth, Vilalba]
  • A. Villalba
    Villalba is a frazione (hamlet) of the municipality of Guidonia Montecelio in the Lazio region of central Italy.
  • B. Fuentealbilla
    Fuentealbilla is a small municipality in the province of Albacete, Spain, best known as the hometown of footballer Andrés Iniesta.
  • C. Cardeñosa
    Cardeñosa is a small municipality in the province of Ávila, in the autonomous community of Castile and León, Spain.
  • D. Brihuega
    Brihuega is a historic town in central Spain’s Castilla-La Mancha region, renowned for its medieval architecture and extensive lavender fields.
  • E. Valderrobres
    Valderrobres is a historic town in eastern Spain known for its well-preserved medieval architecture, including a hilltop castle and Gothic bridge over the Matarraña River.
  • 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: Vilalba
Triple: [Manuel Fraga, placeOfBirth, Vilalba]
Generated description
Vilalba is a town in the province of Lugo in Galicia, northwestern Spain, known as the birthplace of several notable Galician political and cultural figures.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Vilalba
Target entity description: Vilalba is a town in the province of Lugo in Galicia, northwestern Spain, known as the birthplace of several notable Galician political and cultural figures.
  • A. Villalba
    Villalba is a frazione (hamlet) of the municipality of Guidonia Montecelio in the Lazio region of central Italy.
  • B. Fuentealbilla
    Fuentealbilla is a small municipality in the province of Albacete, Spain, best known as the hometown of footballer Andrés Iniesta.
  • C. Cardeñosa
    Cardeñosa is a small municipality in the province of Ávila, in the autonomous community of Castile and León, Spain.
  • D. Brihuega
    Brihuega is a historic town in central Spain’s Castilla-La Mancha region, renowned for its medieval architecture and extensive lavender fields.
  • E. Valderrobres
    Valderrobres is a historic town in eastern Spain known for its well-preserved medieval architecture, including a hilltop castle and Gothic bridge over the Matarraña River.
  • 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_69ca82dc8f148190a2c75a98501a7b91 completed March 30, 2026, 2:04 p.m.
NER Named-entity recognition batch_69cb783a8cf48190bf85394fd3bd79e2 completed March 31, 2026, 7:31 a.m.
NED1 Entity disambiguation (via context triple) batch_69cdc6b591d081909e1fb450508197f2 completed April 2, 2026, 1:30 a.m.
NEDg Description generation batch_69cdcc8439cc8190b00ce9b0781d0544 completed April 2, 2026, 1:55 a.m.
NED2 Entity disambiguation (via description) batch_69cdcdd1a0c08190aa15e665a38945e7 completed April 2, 2026, 2 a.m.
Created at: March 30, 2026, 5:47 p.m.