Triple

T2318821
Position Surface form Disambiguated ID Type / Status
Subject Miguel Hidalgo borough E51128 entity
Predicate contains P35 FINISHED
Object Campo Marte E43036 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: Campo Marte | Statement: [Miguel Hidalgo borough, contains, Campo Marte]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Campo Marte
Context triple: [Miguel Hidalgo borough, contains, Campo Marte]
  • A. Campo Marte chosen
    Campo Marte is a prominent military and ceremonial complex in Mexico City that hosts parades, official events, and various public gatherings.
  • B. Campo de Marte
    Campo de Marte was the historical name of what is now Parque O’Higgins, a major urban park and traditional venue for public events in Santiago, Chile.
  • C. Via Militaris
    Via Militaris was a major ancient Roman military and trade road that connected central Europe with the Balkans and the eastern provinces.
  • D. Ejército de Tierra
    Ejército de Tierra is the land warfare branch of Spain’s Armed Forces, responsible for ground military operations and national defense.
  • E. La Guardia
    La Guardia is an Italian-origin surname most famously associated with Fiorello H. La Guardia, the influential three-term mayor of New York City in the early 20th century.
  • 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_69a88b074b908190ae983dbca7757d88 completed March 4, 2026, 7:41 p.m.
NER Named-entity recognition batch_69abc630b7ec819088735bde27fdabfe completed March 7, 2026, 6:31 a.m.
NED1 Entity disambiguation (via context triple) batch_69ae8966cc0c819092ad299645b0aa71 completed March 9, 2026, 8:48 a.m.
Created at: March 4, 2026, 7:49 p.m.