Triple

T2873619
Position Surface form Disambiguated ID Type / Status
Subject La Rochelle E56822 entity
Predicate twinCity P1072 FINISHED
Object Santo Domingo E30012 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: Santo Domingo | Statement: [La Rochelle, twinCity, Santo Domingo]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Santo Domingo
Context triple: [La Rochelle, twinCity, Santo Domingo]
  • A. Santo Domingo
    Santo Domingo is a major city in Ecuador known as a commercial and transportation hub in the country’s central coastal region.
  • B. Santo Domingo, Dominican Republic chosen
    Santo Domingo, Dominican Republic is the nation’s capital and largest city, known as one of the oldest continuously inhabited European-founded settlements in the Americas and a major cultural and economic center of the Caribbean.
  • C. 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.
  • D. San Salvador
    San Salvador is the largest city of El Salvador and its political, cultural, and economic center.
  • E. San Pedro de Macorís, Dominican Republic
    San Pedro de Macorís is a coastal city in the Dominican Republic known for its sugar industry and for producing numerous Major League Baseball players.
  • 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_69ab4a4ced288190ab6d3e062d10f7f6 completed March 6, 2026, 9:42 p.m.
NER Named-entity recognition batch_69abe0032ddc8190bb4d15ec7e3c63e8 completed March 7, 2026, 8:21 a.m.
NED1 Entity disambiguation (via context triple) batch_69b08648923c8190bd544177b825a494 completed March 10, 2026, 8:59 p.m.
Created at: March 6, 2026, 10:03 p.m.