Triple

T13389438
Position Surface form Disambiguated ID Type / Status
Subject Escuintla Department E319536 entity
Predicate contains P35 FINISHED
Object Iztapa
Iztapa is a coastal town and municipality in southern Guatemala known for its Pacific beaches and fishing activities.
E1037292 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: Iztapa | Statement: [Escuintla Department, contains, Iztapa]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Iztapa
Context triple: [Escuintla Department, contains, Iztapa]
  • A. Tetela
    Tetela is a Bantu language spoken primarily by the Tetela people of central Democratic Republic of the Congo.
  • B. Waso
    Waso is a traditional month in the Burmese calendar that typically marks the beginning of the Buddhist Lent and the height of the monsoon season in Myanmar.
  • C. Aculco
    Aculco is a Mexico City Metro station located in the eastern part of the city, serving local commuters on Line 8.
  • D. Guamote
    Guamote is a rural town and canton in Ecuador known for its indigenous Kichwa culture, traditional markets, and highland Andean landscapes.
  • E. Tazmalt
    Tazmalt is a town and commune in northern Algeria known as a local commercial and transport hub within Béjaïa 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: Iztapa
Triple: [Escuintla Department, contains, Iztapa]
Generated description
Iztapa is a coastal town and municipality in southern Guatemala known for its Pacific beaches and fishing activities.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Iztapa
Target entity description: Iztapa is a coastal town and municipality in southern Guatemala known for its Pacific beaches and fishing activities.
  • A. Tetela
    Tetela is a Bantu language spoken primarily by the Tetela people of central Democratic Republic of the Congo.
  • B. Waso
    Waso is a traditional month in the Burmese calendar that typically marks the beginning of the Buddhist Lent and the height of the monsoon season in Myanmar.
  • C. Aculco
    Aculco is a Mexico City Metro station located in the eastern part of the city, serving local commuters on Line 8.
  • D. Guamote
    Guamote is a rural town and canton in Ecuador known for its indigenous Kichwa culture, traditional markets, and highland Andean landscapes.
  • E. Tazmalt
    Tazmalt is a town and commune in northern Algeria known as a local commercial and transport hub within Béjaïa 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.