Triple

T2961506
Position Surface form Disambiguated ID Type / Status
Subject Xalapa E80059 entity
Predicate alsoKnownAs P39 FINISHED
Object Jalapa
Jalapa is the capital city of the Mexican state of Veracruz, known for its cool, misty climate, cultural institutions, and surrounding coffee-growing region.
 E316794 NE FINISHED

How this triple was built (4 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: Jalapa | Statement: [Xalapa, alsoKnownAs, Jalapa]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Jalapa
Context triple: [Xalapa, alsoKnownAs, Jalapa]
  • A. Tacuba
    Tacuba is a historic neighborhood in Mexico City known for its colonial-era architecture and role as a former pre-Hispanic town.
  • B. Tututepec
    Tututepec was a prominent pre-Columbian Mixtec city-state and political center located on the Pacific coast of present-day Oaxaca, Mexico.
  • C. Tecali
    Tecali is a Mexican town renowned for its traditional crafts, particularly the production of Talavera pottery and stonework.
  • D. Guarijío
    Guarijío is an indigenous Uto-Aztecan language spoken by the Guarijío people of northern Mexico, particularly in the states of Chihuahua and Sonora.
  • E. Toniná
    Toniná is an ancient Maya archaeological site in Chiapas, Mexico, known for its towering acropolis, intricate stone carvings, and evidence of powerful Classic-period warfare and politics.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Jalapa
Triple: [Xalapa, alsoKnownAs, Jalapa]
Generated description
Jalapa is the capital city of the Mexican state of Veracruz, known for its cool, misty climate, cultural institutions, and surrounding coffee-growing region.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Jalapa
Target entity description: Jalapa is the capital city of the Mexican state of Veracruz, known for its cool, misty climate, cultural institutions, and surrounding coffee-growing region.
  • A. Tacuba
    Tacuba is a historic neighborhood in Mexico City known for its colonial-era architecture and role as a former pre-Hispanic town.
  • B. Tututepec
    Tututepec was a prominent pre-Columbian Mixtec city-state and political center located on the Pacific coast of present-day Oaxaca, Mexico.
  • C. Tecali
    Tecali is a Mexican town renowned for its traditional crafts, particularly the production of Talavera pottery and stonework.
  • D. Guarijío
    Guarijío is an indigenous Uto-Aztecan language spoken by the Guarijío people of northern Mexico, particularly in the states of Chihuahua and Sonora.
  • E. Toniná
    Toniná is an ancient Maya archaeological site in Chiapas, Mexico, known for its towering acropolis, intricate stone carvings, and evidence of powerful Classic-period warfare and politics.
  • F. None of above. chosen

Provenance (5 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_69ad8b1341848190bd19dbf46892887d completed March 8, 2026, 2:43 p.m.
NER Named-entity recognition batch_69ad995454448190834aa5d47a4ed5ac completed March 8, 2026, 3:44 p.m.
NED1 Entity disambiguation (via context triple) batch_69b108de7e3c81908b1fee310515e4c1 completed March 11, 2026, 6:17 a.m.
NEDg Description generation batch_69b10cae699481908b4cca2c7e66616c completed March 11, 2026, 6:33 a.m.
NED2 Entity disambiguation (via description) batch_69b10d22bbd48190b9878b4b0421c004 completed March 11, 2026, 6:35 a.m.
Created at: March 8, 2026, 2:57 p.m.