Triple

T1958992
Position Surface form Disambiguated ID Type / Status
Subject Angel of Independence E42336 entity
Predicate containsRemainsOf P16216 FINISHED
Object Juan Aldama E140983 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: Juan Aldama | Statement: [Angel of Independence, containsRemainsOf, Juan Aldama]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Juan Aldama
Context triple: [Angel of Independence, containsRemainsOf, Juan Aldama]
  • A. Juan Aldama chosen
    Juan Aldama was a Mexican insurgent and key conspirator in the early stages of the Mexican War of Independence.
  • B. Pedro Muzquiz
    Pedro Muzquiz is the passionate yet conflicted love interest of Tita in Laura Esquivel’s novel "Like Water for Chocolate," whose forbidden romance drives much of the story’s emotional tension.
  • C. Enrique Arce
    Enrique Arce is a Spanish actor best known internationally for his role as the unscrupulous Arturo Román in the hit series "Money Heist."
  • D. Rafael Mijares
    Rafael Mijares was a Mexican architect best known for co-designing Mexico City’s iconic National Museum of Anthropology, a landmark of modernist museum architecture.
  • E. Arturo Chávez
    Arturo Chávez is a personal name that may refer to multiple individuals, including professionals and public figures in Spanish-speaking countries.
  • 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_69a8870eea088190a38781990812a9bc completed March 4, 2026, 7:25 p.m.
NER Named-entity recognition batch_69abb37e21cc8190b6e13b86bc93d594 completed March 7, 2026, 5:11 a.m.
NED1 Entity disambiguation (via context triple) batch_69b08609a50c81908b258bc34996ede1 completed March 10, 2026, 8:58 p.m.
Created at: March 4, 2026, 7:36 p.m.