Triple

T3226036
Position Surface form Disambiguated ID Type / Status
Subject Loulé E67623 entity
Predicate demonym P191 FINISHED
Object Louletano
Louletano is the Portuguese demonym used to refer to people or things originating from the city of Loulé in the Algarve region.
 E337323 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: Louletano | Statement: [Loulé, demonym, Louletano]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Louletano
Context triple: [Loulé, demonym, Louletano]
  • A. Miravalle
    Miravalle is a neighborhood located within the Benito Juárez borough of Mexico City, known for its residential character and urban amenities.
  • B. Lavezares
    Lavezares is a coastal municipality in the province of Northern Samar in the Philippines, known for its fishing communities and island landscapes.
  • C. Grande-Butera
    Grande-Butera is the hyphenated surname of American singer and actress Ariana Grande, reflecting her Italian family heritage.
  • D. Gavignano
    Gavignano is a small Italian town in the Lazio region, historically notable as the birthplace of Pope Innocent III.
  • E. Loché
    Loché is a small wine-producing village in the Mâconnais region of Burgundy, France, known for its Chardonnay-based white wines.
  • 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: Louletano
Triple: [Loulé, demonym, Louletano]
Generated description
Louletano is the Portuguese demonym used to refer to people or things originating from the city of Loulé in the Algarve region.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Louletano
Target entity description: Louletano is the Portuguese demonym used to refer to people or things originating from the city of Loulé in the Algarve region.
  • A. Miravalle
    Miravalle is a neighborhood located within the Benito Juárez borough of Mexico City, known for its residential character and urban amenities.
  • B. Lavezares
    Lavezares is a coastal municipality in the province of Northern Samar in the Philippines, known for its fishing communities and island landscapes.
  • C. Grande-Butera
    Grande-Butera is the hyphenated surname of American singer and actress Ariana Grande, reflecting her Italian family heritage.
  • D. Gavignano
    Gavignano is a small Italian town in the Lazio region, historically notable as the birthplace of Pope Innocent III.
  • E. Loché
    Loché is a small wine-producing village in the Mâconnais region of Burgundy, France, known for its Chardonnay-based white wines.
  • 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_69ad858c61888190a31196310d9b30b5 completed March 8, 2026, 2:19 p.m.
NER Named-entity recognition batch_69adaeb4cd3481908af8a2c9b6c0742d completed March 8, 2026, 5:15 p.m.
NED1 Entity disambiguation (via context triple) batch_69b2625eaa708190b23ca6e575d664a2 completed March 12, 2026, 6:51 a.m.
NEDg Description generation batch_69b264e25bd48190978a289565854297 completed March 12, 2026, 7:01 a.m.
NED2 Entity disambiguation (via description) batch_69b265cd3fcc8190bc56bbf2de229386 completed March 12, 2026, 7:05 a.m.
Created at: March 8, 2026, 3:08 p.m.