Triple

T22192604
Position Surface form Disambiguated ID Type / Status
Subject Aquiles Serdán E548466 entity
Predicate placeOfBirth P1 FINISHED
Object Puebla de Zaragoza NE NERFINISHED

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: Puebla de Zaragoza | Statement: [Aquiles Serdán, placeOfBirth, Puebla de Zaragoza]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Puebla de Zaragoza
Context triple: [Aquiles Serdán, placeOfBirth, Puebla de Zaragoza]
  • A. Puebla de Zaragoza chosen
    Puebla de Zaragoza is a historic and culturally rich city in central Mexico, known for its colonial architecture, culinary traditions, and role in the Battle of Puebla.
  • B. Puebla de la Reina
    Puebla de la Reina is a small rural municipality in the Tierra de Barros comarca of the Extremadura region in western Spain.
  • C. Muñoz Grandes
    Muñoz Grandes is the surname of Agustín Muñoz Grandes, a prominent Spanish general and political figure during the Francoist era.
  • D. Alcañiz
    Alcañiz is a historic town in northeastern Spain’s Aragon region, known for its medieval architecture, strategic location, and role in the Spanish Civil War.
  • E. La Puebla de Montalbán
    La Puebla de Montalbán is a historic town in the province of Toledo, Spain, known as the birthplace of the Renaissance author Fernando de Rojas.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e11e3e0c7c8190b30d278845e2497e completed April 16, 2026, 5:37 p.m.
NER Named-entity recognition batch_69f12ae49ec881908fa42446b19e3f2d completed April 28, 2026, 9:47 p.m.
Created at: April 16, 2026, 8:35 p.m.