Triple

T18882529
Position Surface form Disambiguated ID Type / Status
Subject Ana Topete E461866 entity
Predicate hasSurname P18 FINISHED
Object Topete E103786 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: Topete | Statement: [Ana Topete, hasSurname, Topete]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Topete
Context triple: [Ana Topete, hasSurname, Topete]
  • A. Topete chosen
    Topete is a Spanish surname associated with notable figures such as admiral Pascual Cervera y Topete.
  • B. Chiapa de Corzo
    Chiapa de Corzo is a historic colonial town in the Mexican state of Chiapas, known for its traditional festivals, Mudejar-style architecture, and role as a gateway to the Sumidero Canyon.
  • C. San Luis Talpa
    San Luis Talpa is a municipality in the La Paz department of El Salvador, located near the country’s main international airport and known for its role as a transit and service hub for travelers.
  • D. Poncitlán
    Poncitlán is a municipality and town in the Mexican state of Jalisco, known for its agricultural activity and proximity to Lake Chapala.
  • E. Tepatitlán de Morelos
    Tepatitlán de Morelos is a prominent city in Mexico known for its agricultural production, religious traditions, and vibrant regional culture.
  • 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_69d8dcfc3430819095ee6fc0eb4c06a5 completed April 10, 2026, 11:20 a.m.
NER Named-entity recognition batch_69e5c3d3286081908c1ae2cb413b49aa completed April 20, 2026, 6:12 a.m.
NED1 Entity disambiguation (via context triple) batch_6a07ab7b83f48190a0f4d13aa14c69b3 completed May 15, 2026, 11:25 p.m.
Created at: April 10, 2026, 11:57 a.m.