Triple

T16565932
Position Surface form Disambiguated ID Type / Status
Subject Sacatepéquez Department E402459 entity
Predicate hasCity P316 FINISHED
Object Jocotenango E1132136 NE FINISHED

How this triple was built (2 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: Jocotenango | Statement: [Sacatepéquez Department, hasCity, Jocotenango]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Jocotenango
Context triple: [Sacatepéquez Department, hasCity, Jocotenango]
  • A. Jocotenango chosen
    Jocotenango is a town in Guatemala known as the birthplace of acclaimed singer-songwriter Ricardo Arjona.
  • B. Coatepeque
    Coatepeque is a town in southwestern Guatemala known as a regional commercial and transportation hub near the Mexican border.
  • C. Santa Lucía Cotzumalguapa
    Santa Lucía Cotzumalguapa is a municipality in southern Guatemala known for its rich pre-Columbian archaeological sites and extensive sugarcane plantations.
  • D. Chimaltenango
    Chimaltenango is a city in south-central Guatemala known as an important commercial and transportation hub in the country’s highland region.
  • E. Todos Santos Cuchumatán
    Todos Santos Cuchumatán is a traditional highland Maya town in western Guatemala known for its distinctive indigenous culture, colorful festivals, and well-preserved customs.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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_69d8838648088190acf97ef11fc3f61b completed April 10, 2026, 4:58 a.m.
NER Named-entity recognition batch_69e357711ea481909468147375051bb4 completed April 18, 2026, 10:05 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0075925b18819084c6d476eceea5f5 completed May 10, 2026, 12:09 p.m.
Created at: April 10, 2026, 5:15 a.m.