Triple

T22157168
Position Surface form Disambiguated ID Type / Status
Subject El León de Payara E547568 entity
Predicate hasPart P35 FINISHED
Object León
León is a city in western Nicaragua known for its colonial architecture, historic churches, and role as a cultural and intellectual center of the country.
 E143424 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: León | Statement: [El León de Payara, hasPart, León]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: León
Context triple: [El León de Payara, hasPart, León]
  • A. León
    León is a historic city in western Nicaragua known for its colonial architecture, vibrant cultural life, and role as an intellectual and political center of the country.
  • B. León
    León is a major industrial and commercial city in central Mexico, renowned especially for its leather and footwear production.
  • C. León
    León is a historic city and former kingdom in northwestern Spain, renowned for its medieval architecture and significant role in the formation of the Spanish state.
  • D. León
    León is a historic and successful Mexican professional football club known for its multiple Liga MX titles and passionate fan base.
  • E. León
    León is a masculine given name of Spanish origin, commonly used in Spanish-speaking countries and derived from the word for "lion."
  • 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: León
Triple: [El León de Payara, hasPart, León]
Generated description
León is a city in western Nicaragua known for its colonial architecture, historic churches, and role as a cultural and intellectual center of the country.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: León
Target entity description: León is a city in western Nicaragua known for its colonial architecture, historic churches, and role as a cultural and intellectual center of the country.
  • A. León
    León is a historic city and former kingdom in northwestern Spain, renowned for its medieval architecture and significant role in the formation of the Spanish state.
  • B. León chosen
    León is a historic city in western Nicaragua known for its colonial architecture, vibrant cultural life, and role as an intellectual and political center of the country.
  • C. León
    León is a historic and successful Mexican professional football club known for its multiple Liga MX titles and passionate fan base.
  • D. León
    León is a major industrial and commercial city in central Mexico, renowned especially for its leather and footwear production.
  • E. León
    León is a masculine given name of Spanish origin, commonly used in Spanish-speaking countries and derived from the word for "lion."
  • F. None of above.

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_69e11e3b52088190ad5df386d01eb2fb completed April 16, 2026, 5:36 p.m.
NER Named-entity recognition batch_69f12a2aadb48190b4d739d1df9529db completed April 28, 2026, 9:44 p.m.
NED1 Entity disambiguation (via context triple) batch_6a0a970c925481908d8f1135703f7050 completed May 18, 2026, 4:35 a.m.
NEDg Description generation batch_6a0a97e509a88190a7f316cf340d010a completed May 18, 2026, 4:39 a.m.
NED2 Entity disambiguation (via description) batch_6a0a987daa208190bab5b7adec1913e8 completed May 18, 2026, 4:41 a.m.
Created at: April 16, 2026, 8:33 p.m.