Triple

T5431679
Position Surface form Disambiguated ID Type / Status
Subject conflict with Hernán Cortés E121508 entity
Predicate location P40 FINISHED
Object Cempoala E79127 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: Cempoala | Statement: [conflict with Hernán Cortés, location, Cempoala]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Cempoala
Context triple: [conflict with Hernán Cortés, location, Cempoala]
  • A. Cempoala chosen
    Cempoala is a pre-Columbian Totonac archaeological city in modern-day Veracruz, Mexico, known for its role as an important regional center at the time of the Spanish conquest.
  • B. Nueva Gerona
    Nueva Gerona is the main urban center and administrative hub of Cuba’s Isla de la Juventud, known for its port, local commerce, and role in regional governance.
  • C. San Miguel
    San Miguel is an active stratovolcano in eastern El Salvador, known for its frequent eruptions and prominent conical shape within the Central American volcanic chain.
  • D. San Miguel
    San Miguel is a landlocked agricultural municipality in the province of Bulacan in the Philippines, known for its historical sites and rural communities.
  • E. San Miguel
    San Miguel is a coastal district of Lima, Peru, known for its residential areas, shopping centers, and access to major avenues and the Pacific shoreline.
  • 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_69bd463c65f0819082ee6483ab4b466a completed March 20, 2026, 1:06 p.m.
NER Named-entity recognition batch_69bd883f982c8190bdf277e1ba85ff7b completed March 20, 2026, 5:47 p.m.
NED1 Entity disambiguation (via context triple) batch_69bf3ac985e48190ba9610e0563c73ab completed March 22, 2026, 12:41 a.m.
Created at: March 20, 2026, 2:06 p.m.