Triple

T11248151
Position Surface form Disambiguated ID Type / Status
Subject Morazán Department E266259 entity
Predicate hasMunicipality P847 FINISHED
Object Guatajiagua E915971 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: Guatajiagua | Statement: [Morazán Department, hasMunicipality, Guatajiagua]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Guatajiagua
Context triple: [Morazán Department, hasMunicipality, Guatajiagua]
  • A. Guatajiagua chosen
    Guatajiagua is a municipality and town located in the Morazán Department of eastern El Salvador.
  • B. Guarijío
    Guarijío is an indigenous Uto-Aztecan language spoken by the Guarijío people of northern Mexico, particularly in the states of Chihuahua and Sonora.
  • C. Gualaquiza
    Gualaquiza is a town in southeastern Ecuador known as a local commercial and administrative center within the Amazonian Morona-Santiago Province.
  • D. Zamboanguita
    Zamboanguita is a coastal municipality in the Philippine province of Negros Oriental known for its diving spots and proximity to Apo Island.
  • E. Guarequena
    Guarequena is an alternative name for the Warekena language, an indigenous Arawakan language spoken in parts of Brazil and Venezuela.
  • 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_69d6aac7953c8190b82caf9d7640fdf9 completed April 8, 2026, 7:21 p.m.
NER Named-entity recognition batch_69d7e91d1484819098ee6b2efb5316a5 completed April 9, 2026, 5:59 p.m.
NED1 Entity disambiguation (via context triple) batch_69e509f7d404819086cf5d062edbaff5 completed April 19, 2026, 4:59 p.m.
Created at: April 8, 2026, 9:31 p.m.