Triple

T17540880
Position Surface form Disambiguated ID Type / Status
Subject Álvaro Arzú E427194 entity
Predicate familyName P18 FINISHED
Object Arzú
Arzú is a Spanish-language surname most prominently associated with Guatemalan politician and former president Álvaro Arzú.
E1274700 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: Arzú | Statement: [Álvaro Arzú, familyName, Arzú]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Arzú
Context triple: [Álvaro Arzú, familyName, Arzú]
  • A. Arzla
    Arzla is a small locality or subdivision within the municipality of Inning am Ammersee in Bavaria, Germany.
  • B. Azuara
    Azuara is a small municipality in the province of Zaragoza, Aragon, Spain, known for its rural character and historical heritage.
  • C. Akhras
    Akhras is a Syrian-origin family name best known for being the maiden surname of Asma al-Assad, the First Lady of Syria.
  • D. Arraiján
    Arraiján is a rapidly growing district in Panama’s Panamá Oeste province, located just west of Panama City and known for its residential developments and proximity to major infrastructure projects.
  • E. Arandis
    Arandis is a small mining town in Namibia known primarily for its proximity to the Rossing uranium mine.
  • 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: Arzú
Triple: [Álvaro Arzú, familyName, Arzú]
Generated description
Arzú is a Spanish-language surname most prominently associated with Guatemalan politician and former president Álvaro Arzú.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Arzú
Target entity description: Arzú is a Spanish-language surname most prominently associated with Guatemalan politician and former president Álvaro Arzú.
  • A. Arzla
    Arzla is a small locality or subdivision within the municipality of Inning am Ammersee in Bavaria, Germany.
  • B. Azuara
    Azuara is a small municipality in the province of Zaragoza, Aragon, Spain, known for its rural character and historical heritage.
  • C. Akhras
    Akhras is a Syrian-origin family name best known for being the maiden surname of Asma al-Assad, the First Lady of Syria.
  • D. Arraiján
    Arraiján is a rapidly growing district in Panama’s Panamá Oeste province, located just west of Panama City and known for its residential developments and proximity to major infrastructure projects.
  • E. Arandis
    Arandis is a small mining town in Namibia known primarily for its proximity to the Rossing uranium mine.
  • 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_69d889df6dc081908f67dbadc03c07ee completed April 10, 2026, 5:25 a.m.
NER Named-entity recognition batch_69e4545e64448190a2a63bc13f549027 completed April 19, 2026, 4:04 a.m.
NED1 Entity disambiguation (via context triple) batch_6a01d289875c81909773184e733211af completed May 11, 2026, 12:58 p.m.
NEDg Description generation batch_6a01d3466bfc8190a64748a113066b67 completed May 11, 2026, 1:01 p.m.
NED2 Entity disambiguation (via description) batch_6a01d425f9748190b64a0a01fd1a20d0 completed May 11, 2026, 1:05 p.m.
Created at: April 10, 2026, 5:49 a.m.