Triple

T16792215
Position Surface form Disambiguated ID Type / Status
Subject Legislative Palace of Honduras E408137 entity
Predicate locatedIn P40 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: [Legislative Palace of Honduras, locatedIn, Tegucigalpa]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tegucigalpa
Context triple: [Legislative Palace of Honduras, locatedIn, 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 José de Comayagua
    San José de Comayagua is a municipality and town located in the central Honduran highlands within the Comayagua Department.
  • D. San Salvador
    San Salvador is the largest city of El Salvador and its political, cultural, and economic center.
  • E. 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.
  • 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_69d8839270588190886720d9519bbf8f completed April 10, 2026, 4:58 a.m.
NER Named-entity recognition batch_69e3b2a6c9888190b3f8f625b299574d completed April 18, 2026, 4:34 p.m.
NED1 Entity disambiguation (via context triple) batch_6a00ab0e1e9c8190bb2ef0825b25f6e5 completed May 10, 2026, 3:58 p.m.
Created at: April 10, 2026, 5:22 a.m.