Triple

T13389444
Position Surface form Disambiguated ID Type / Status
Subject Escuintla Department E319536 entity
Predicate contains P35 FINISHED
Object Masagua
Masagua is a municipality and town located in the Escuintla Department of southern Guatemala.
 E1037295 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: Masagua | Statement: [Escuintla Department, contains, Masagua]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Masagua
Context triple: [Escuintla Department, contains, Masagua]
  • A. Balbuena
    Balbuena is a metro station on Mexico City’s Line 1 serving the Balbuena neighborhood in the eastern part of the city.
  • B. San Simon
    San Simon is a municipality in the province of Pampanga in the Philippines, known for its agricultural economy and proximity to major urban centers in Central Luzon.
  • C. Bubaque
    Bubaque is the main town and administrative center of the Bijagós Archipelago in Guinea-Bissau, known for its role as a gateway to the surrounding islands.
  • D. Bandila
    Bandila is a late-night Philippine television news program produced by ABS-CBN News and Current Affairs, known for its in-depth reporting and coverage of major national events.
  • E. Guayzimi
    Guayzimi is a small town in southeastern Ecuador that serves as an administrative and commercial center in the Amazonian region of Zamora-Chinchipe Province.
  • 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: Masagua
Triple: [Escuintla Department, contains, Masagua]
Generated description
Masagua is a municipality and town located in the Escuintla Department of southern Guatemala.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Masagua
Target entity description: Masagua is a municipality and town located in the Escuintla Department of southern Guatemala.
  • A. Balbuena
    Balbuena is a metro station on Mexico City’s Line 1 serving the Balbuena neighborhood in the eastern part of the city.
  • B. San Simon
    San Simon is a municipality in the province of Pampanga in the Philippines, known for its agricultural economy and proximity to major urban centers in Central Luzon.
  • C. Bubaque
    Bubaque is the main town and administrative center of the Bijagós Archipelago in Guinea-Bissau, known for its role as a gateway to the surrounding islands.
  • D. Bandila
    Bandila is a late-night Philippine television news program produced by ABS-CBN News and Current Affairs, known for its in-depth reporting and coverage of major national events.
  • E. Guayzimi
    Guayzimi is a small town in southeastern Ecuador that serves as an administrative and commercial center in the Amazonian region of Zamora-Chinchipe Province.
  • 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_69d806b886bc8190b676e7768b8e01c5 completed April 9, 2026, 8:06 p.m.
NER Named-entity recognition batch_69dba0d543348190a9c1be509b015c0f completed April 12, 2026, 1:40 p.m.
NED1 Entity disambiguation (via context triple) batch_69f72691c8d08190b971d7e914863cc1 completed May 3, 2026, 10:42 a.m.
NEDg Description generation batch_69f7272115f4819092e4fa0fd7f130b5 completed May 3, 2026, 10:44 a.m.
NED2 Entity disambiguation (via description) batch_69f72992483c8190873ba7050ad9e6fa completed May 3, 2026, 10:55 a.m.
Created at: April 9, 2026, 9:34 p.m.