Triple

T2436375
Position Surface form Disambiguated ID Type / Status
Subject John II of Castile E52970 entity
Predicate birthPlace P1 FINISHED
Object Toro
Toro is a historic town in the province of Zamora, Castile and León, Spain, known for its medieval architecture and wine production.
 E266545 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: Toro | Statement: [John II of Castile, birthPlace, Toro]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Toro
Context triple: [John II of Castile, birthPlace, Toro]
  • A. Toro
    Toro is the bull mascot representing California State University, Dominguez Hills at its athletic events and campus activities.
  • B. Toro
    Toro is the official bull-themed mascot of the NFL's Houston Texans, known for entertaining fans at games and team events.
  • C. Alvarez
    Alvarez is a common Spanish surname borne by numerous notable figures across fields such as science, sports, and the arts.
  • D. Tuyo
    "Tuyo" is a bolero-style song by Rodrigo Amarante, best known as the haunting opening theme of the television series *Narcos*.
  • E. Tama
    Tama is a region in western Tokyo, Japan, encompassing several suburban cities and towns that serve as residential and commercial areas for the greater Tokyo metropolis.
  • 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: Toro
Triple: [John II of Castile, birthPlace, Toro]
Generated description
Toro is a historic town in the province of Zamora, Castile and León, Spain, known for its medieval architecture and wine production.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Toro
Target entity description: Toro is a historic town in the province of Zamora, Castile and León, Spain, known for its medieval architecture and wine production.
  • A. Toro
    Toro is the official bull-themed mascot of the NFL's Houston Texans, known for entertaining fans at games and team events.
  • B. Toro
    Toro is the bull mascot representing California State University, Dominguez Hills at its athletic events and campus activities.
  • C. Alvarez
    Alvarez is a common Spanish surname borne by numerous notable figures across fields such as science, sports, and the arts.
  • D. Tuyo
    "Tuyo" is a bolero-style song by Rodrigo Amarante, best known as the haunting opening theme of the television series *Narcos*.
  • E. Tama
    Tama is a region in western Tokyo, Japan, encompassing several suburban cities and towns that serve as residential and commercial areas for the greater Tokyo metropolis.
  • 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_69ab4959bcc0819083246f9fb10439e3 completed March 6, 2026, 9:38 p.m.
NER Named-entity recognition batch_69abc9cd49b48190bff10a5ab7cef483 completed March 7, 2026, 6:46 a.m.
NED1 Entity disambiguation (via context triple) batch_69aebf6e23088190b0ce2feaa3eddda4 completed March 9, 2026, 12:39 p.m.
NEDg Description generation batch_69aec7eb422c8190a568a8e1e98cbca8 completed March 9, 2026, 1:15 p.m.
NED2 Entity disambiguation (via description) batch_69aecc1438588190a87c15cbfe48ba7f completed March 9, 2026, 1:33 p.m.
Created at: March 6, 2026, 9:43 p.m.