Triple

T14577719
Position Surface form Disambiguated ID Type / Status
Subject James II, Count of Urgell E342099 entity
Predicate birthPlace P1 FINISHED
Object Balaguer E556538 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: Balaguer | Statement: [James II, Count of Urgell, birthPlace, Balaguer]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Balaguer
Context triple: [James II, Count of Urgell, birthPlace, Balaguer]
  • A. Balaguer chosen
    Balaguer is a historic town in Catalonia, Spain, known for its medieval heritage and strategic location along the Segre River.
  • B. Joaquín Balaguer
    Joaquín Balaguer was a long-serving Dominican politician and statesman who served multiple terms as president of the Dominican Republic in the 20th century.
  • C. Gaitán
    Gaitán is a Spanish-language surname borne by various notable figures in Latin America and Spain.
  • D. José María Amador
    José María Amador was a 19th-century Californio rancher, miner, and landowner whose prominence in early California history led to several places, including Amador County, being named in his honor.
  • E. Castro Barros
    Castro Barros is a station on Line A of the Buenos Aires Underground, serving passengers in the Almagro neighborhood of Argentina's capital.
  • 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_69d822dcc6248190bed689984bceb0e2 completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69deb3f5ec448190b2ef887fdf7b633e completed April 14, 2026, 9:39 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd8ace7da48190880a736ead5c4055 completed May 8, 2026, 7:03 a.m.
Created at: April 10, 2026, 1:24 a.m.