Triple

T6428454
Position Surface form Disambiguated ID Type / Status
Subject Álvaro de Mesquita E128117 entity
Predicate familyName P18 FINISHED
Object Mesquita
Mesquita is a Portuguese-language surname of Iberian origin borne by various notable individuals across the Lusophone world.
 E592454 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: Mesquita | Statement: [Álvaro de Mesquita, familyName, Mesquita]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Mesquita
Context triple: [Álvaro de Mesquita, familyName, Mesquita]
  • A. Alamata
    Alamata is a town in northern Ethiopia that serves as a local commercial and administrative center in the southern part of the Tigray Region.
  • B. Neiva
    Neiva is a major city in southwestern Colombia known as the economic and cultural center of the upper Magdalena River valley.
  • C. Ezeiza
    Ezeiza is a city in the Buenos Aires Province of Argentina, known for hosting the country’s main international airport and serving as a key gateway to the capital.
  • D. Belén
    Belén is a town in northwestern Argentina known for its traditional weaving and role as a regional center in Catamarca Province.
  • E. Mosta
    Mosta is a town in central Malta best known for its impressive Rotunda church, which has one of the largest unsupported domes in the world.
  • 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: Mesquita
Triple: [Álvaro de Mesquita, familyName, Mesquita]
Generated description
Mesquita is a Portuguese-language surname of Iberian origin borne by various notable individuals across the Lusophone world.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Mesquita
Target entity description: Mesquita is a Portuguese-language surname of Iberian origin borne by various notable individuals across the Lusophone world.
  • A. Alamata
    Alamata is a town in northern Ethiopia that serves as a local commercial and administrative center in the southern part of the Tigray Region.
  • B. Neiva
    Neiva is a major city in southwestern Colombia known as the economic and cultural center of the upper Magdalena River valley.
  • C. Ezeiza
    Ezeiza is a city in the Buenos Aires Province of Argentina, known for hosting the country’s main international airport and serving as a key gateway to the capital.
  • D. Belén
    Belén is a town in northwestern Argentina known for its traditional weaving and role as a regional center in Catamarca Province.
  • E. Mosta
    Mosta is a town in central Malta best known for its impressive Rotunda church, which has one of the largest unsupported domes in the world.
  • 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_69c00838de888190af2eec0b80495efa completed March 22, 2026, 3:18 p.m.
NER Named-entity recognition batch_69c06922a27881908c5571f2aa31e0c1 completed March 22, 2026, 10:11 p.m.
NED1 Entity disambiguation (via context triple) batch_69c640e678608190b5a1dcd1076bc1f2 completed March 27, 2026, 8:33 a.m.
NEDg Description generation batch_69c641d6024c8190996aae40851a3b73 completed March 27, 2026, 8:37 a.m.
NED2 Entity disambiguation (via description) batch_69c6425e0a348190bc1eb90eb8c00597 completed March 27, 2026, 8:39 a.m.
Created at: March 22, 2026, 4:44 p.m.