Triple

T4653319
Position Surface form Disambiguated ID Type / Status
Subject Mingorrubio Cemetery E102347 entity
Predicate hasBurial P196 FINISHED
Object Carmen Polo E103827 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: Carmen Polo | Statement: [Mingorrubio Cemetery, hasBurial, Carmen Polo]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Carmen Polo
Context triple: [Mingorrubio Cemetery, hasBurial, Carmen Polo]
  • A. Carmen Polo chosen
    Carmen Polo was a Spanish noblewoman best known as the wife of dictator Francisco Franco and a prominent figure in Francoist Spain’s social and political elite.
  • B. Carmen Larbalestier
    Carmen Larbalestier is a British woman best known as the mother of seven-time Formula One World Champion Lewis Hamilton.
  • C. Carmen Valverde
    Carmen Valverde was the wife of Venezuelan statesman and two-time president Rómulo Betancourt.
  • D. Maria Cerezo
    Maria Cerezo was the wife of Italian explorer and cartographer Amerigo Vespucci, after whom the Americas are named.
  • E. Carmen De Rue
    Carmen De Rue was a silent film actress who appeared in early 20th-century American cinema, including the 1926 film "Sparrows."
  • 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_69bd43d71a308190afea7280841b0de8 completed March 20, 2026, 12:55 p.m.
NER Named-entity recognition batch_69bd6314883481908f085a7af497b0d8 completed March 20, 2026, 3:09 p.m.
NED1 Entity disambiguation (via context triple) batch_69bdfaeb1ee081909ef641953bdf8df3 completed March 21, 2026, 1:56 a.m.
Created at: March 20, 2026, 1:14 p.m.