Triple

T6737047
Position Surface form Disambiguated ID Type / Status
Subject Honduras national football team E153981 entity
Predicate homeCity P263 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: [Honduras national football team, homeCity, Tegucigalpa]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tegucigalpa
Context triple: [Honduras national football team, homeCity, 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_69c6880d84d8819095d19de2295f26ac completed March 27, 2026, 1:37 p.m.
NER Named-entity recognition batch_69c6d1850a288190aa7e647fefbb0ede completed March 27, 2026, 6:50 p.m.
NED1 Entity disambiguation (via context triple) batch_69c72f6514948190a5562201e7b36e27 completed March 28, 2026, 1:31 a.m.
Created at: March 27, 2026, 2:10 p.m.