Triple

T14411729
Position Surface form Disambiguated ID Type / Status
Subject Verdú E357342 entity
Predicate orthographicVariant P33995 FINISHED
Object Verdu
Verdu is a variant spelling of Verdú, a municipality in the province of Lleida in Catalonia, Spain, known for its historic pottery tradition and medieval architecture.
 E1099804 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: Verdu | Statement: [Verdú, orthographicVariant, Verdu]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Verdu
Context triple: [Verdú, orthographicVariant, Verdu]
  • A. Verdesina
    Verdesina is a small village in northern Italy’s Trentino region, situated within the alpine Val Rendena.
  • B. Colverde
    Colverde is a municipality in the Province of Como in the Lombardy region of northern Italy.
  • C. Claro Valley
    Claro Valley is a subregion within Chile’s Maule Valley wine region, known for producing a range of quality wines influenced by its diverse microclimates and soils.
  • D. Lemore
    Lemore is a mysterious septa and companion to the exiled prince known as Young Griff in George R. R. Martin’s A Song of Ice and Fire series.
  • E. Looma
    Looma is an alternative name for Loma, which may refer to various places, peoples, or entities sharing that designation.
  • 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: Verdu
Triple: [Verdú, orthographicVariant, Verdu]
Generated description
Verdu is a variant spelling of Verdú, a municipality in the province of Lleida in Catalonia, Spain, known for its historic pottery tradition and medieval architecture.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Verdu
Target entity description: Verdu is a variant spelling of Verdú, a municipality in the province of Lleida in Catalonia, Spain, known for its historic pottery tradition and medieval architecture.
  • A. Verdesina
    Verdesina is a small village in northern Italy’s Trentino region, situated within the alpine Val Rendena.
  • B. Colverde
    Colverde is a municipality in the Province of Como in the Lombardy region of northern Italy.
  • C. Claro Valley
    Claro Valley is a subregion within Chile’s Maule Valley wine region, known for producing a range of quality wines influenced by its diverse microclimates and soils.
  • D. Lemore
    Lemore is a mysterious septa and companion to the exiled prince known as Young Griff in George R. R. Martin’s A Song of Ice and Fire series.
  • E. Looma
    Looma is an alternative name for Loma, which may refer to various places, peoples, or entities sharing that designation.
  • 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_69d82793421c8190861eb0e673b085de completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69de90c9b3448190aec1608836a5e913 completed April 14, 2026, 7:08 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd5bc5df908190858df8fe5897de85 completed May 8, 2026, 3:43 a.m.
NEDg Description generation batch_69fd5da1ee8c819098522a2bd30a0ac4 completed May 8, 2026, 3:50 a.m.
NED2 Entity disambiguation (via description) batch_69fd5df48f7481909764bc4e23c0b04a completed May 8, 2026, 3:52 a.m.
Created at: April 10, 2026, 1:17 a.m.