Triple

T5508280
Position Surface form Disambiguated ID Type / Status
Subject Francisco Morazán Department E144498 entity
Predicate contains P35 FINISHED
Object Vallecillo
Vallecillo is a small municipality located in the Francisco Morazán Department of central Honduras.
 E531571 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: Vallecillo | Statement: [Francisco Morazán Department, contains, Vallecillo]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Vallecillo
Context triple: [Francisco Morazán Department, contains, Vallecillo]
  • A. Higuillar
    Higuillar is a coastal barrio (district) of the municipality of Dorado in Puerto Rico, known for its beaches and residential communities.
  • B. Soto de Viñuelas
    Soto de Viñuelas is a protected natural area in the Madrid region of Spain, known for its Mediterranean woodlands, wildlife, and role as a peri-urban green space near the Jarama River.
  • C. Villanubla
    Villanubla is a municipality in the province of Valladolid, Spain, known for hosting the main airport serving the city of Valladolid.
  • D. Colmenarejo
    Colmenarejo is a small municipality in the Community of Madrid, Spain, known for its rural character and proximity to the Sierra de Guadarrama.
  • E. Hinojosa
    Hinojosa is a Spanish surname historically associated with figures such as José de la Serna e Hinojosa, the last viceroy of Peru.
  • 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: Vallecillo
Triple: [Francisco Morazán Department, contains, Vallecillo]
Generated description
Vallecillo is a small municipality located in the Francisco Morazán Department of central Honduras.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Vallecillo
Target entity description: Vallecillo is a small municipality located in the Francisco Morazán Department of central Honduras.
  • A. Higuillar
    Higuillar is a coastal barrio (district) of the municipality of Dorado in Puerto Rico, known for its beaches and residential communities.
  • B. Soto de Viñuelas
    Soto de Viñuelas is a protected natural area in the Madrid region of Spain, known for its Mediterranean woodlands, wildlife, and role as a peri-urban green space near the Jarama River.
  • C. Villanubla
    Villanubla is a municipality in the province of Valladolid, Spain, known for hosting the main airport serving the city of Valladolid.
  • D. Colmenarejo
    Colmenarejo is a small municipality in the Community of Madrid, Spain, known for its rural character and proximity to the Sierra de Guadarrama.
  • E. Hinojosa
    Hinojosa is a Spanish surname historically associated with figures such as José de la Serna e Hinojosa, the last viceroy of Peru.
  • 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_69c008f6b5048190a09064116062cf69 completed March 22, 2026, 3:21 p.m.
NER Named-entity recognition batch_69c01f4a80d88190bab0056c4c78be93 completed March 22, 2026, 4:56 p.m.
NED1 Entity disambiguation (via context triple) batch_69c027c082108190a3c8f826a6aeef4c completed March 22, 2026, 5:32 p.m.
NEDg Description generation batch_69c03c0ab1d8819094aeaac0a5b57bc8 completed March 22, 2026, 6:59 p.m.
NED2 Entity disambiguation (via description) batch_69c03cd550748190ab9718c510d2f0ca completed March 22, 2026, 7:02 p.m.
Created at: March 22, 2026, 3:33 p.m.