Triple

T10885123
Position Surface form Disambiguated ID Type / Status
Subject Amado Guevara E257022 entity
Predicate placeOfBirth P1 FINISHED
Object Tegucigalpa E23093 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: Tegucigalpa | Statement: [Amado Guevara, placeOfBirth, Tegucigalpa]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tegucigalpa
Context triple: [Amado Guevara, placeOfBirth, Tegucigalpa]
  • A. Tegucigalpa chosen
    Tegucigalpa is the capital and largest city of Honduras, serving as its political, cultural, and economic center.
  • B. San Pedro Sula
    San Pedro Sula is a large industrial and commercial city in northern Honduras, historically known as the country’s economic hub.
  • C. San Salvador
    San Salvador is the largest city of El Salvador and its political, cultural, and economic center.
  • D. Santiago de los Caballeros
    Santiago de los Caballeros is the second-largest city in the Dominican Republic, known as a major cultural, economic, and historical center in the Cibao region.
  • E. Juigalpa
    Juigalpa is a city in central Nicaragua that serves as the capital of the Chontales Department and a regional hub for agriculture and cattle ranching.
  • 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_69d6aa848804819081b2713ca0bedf06 completed April 8, 2026, 7:20 p.m.
NER Named-entity recognition batch_69d751dd6a3c81909965ef774e8b7309 completed April 9, 2026, 7:14 a.m.
NED1 Entity disambiguation (via context triple) batch_69dff7ecf1c48190aef0d31ef03d1f88 completed April 15, 2026, 8:41 p.m.
Created at: April 8, 2026, 9:21 p.m.