Triple

T22880523
Position Surface form Disambiguated ID Type / Status
Subject Sincelejo E567451 entity
Predicate nearbyCity P350 FINISHED
Object Sincelejito
Sincelejito is a small locality in northern Colombia situated near the city of Sincelejo in the Sucre Department.
 E1559014 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: Sincelejito | Statement: [Sincelejo, nearbyCity, Sincelejito]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Sincelejito
Context triple: [Sincelejo, nearbyCity, Sincelejito]
  • A. La Nena
    "La Nena" is a song featured on the album "Quizás" by Spanish singer-songwriter Enrique Iglesias.
  • B. Lány
    Lány is a village and chateau area in the Czech Republic known as the site of the presidential summer residence and the place where the first Czechoslovak president Tomáš Garrigue Masaryk died.
  • C. Tinísima
    Tinísima is a biographical novel by Elena Poniatowska that portrays the life and political activism of Italian photographer and revolutionary Tina Modotti.
  • D. Los Lilas
    Los Lilas is the popular nickname of Chilean football club Deportes Concepción, known for its distinctive purple team colors.
  • E. Arielito
    Arielito is a diminutive form of the given name Ariel, often used as an affectionate nickname in Spanish-speaking contexts.
  • 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: Sincelejito
Triple: [Sincelejo, nearbyCity, Sincelejito]
Generated description
Sincelejito is a small locality in northern Colombia situated near the city of Sincelejo in the Sucre Department.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Sincelejito
Target entity description: Sincelejito is a small locality in northern Colombia situated near the city of Sincelejo in the Sucre Department.
  • A. La Nena
    "La Nena" is a song featured on the album "Quizás" by Spanish singer-songwriter Enrique Iglesias.
  • B. Lány
    Lány is a village and chateau area in the Czech Republic known as the site of the presidential summer residence and the place where the first Czechoslovak president Tomáš Garrigue Masaryk died.
  • C. Tinísima
    Tinísima is a biographical novel by Elena Poniatowska that portrays the life and political activism of Italian photographer and revolutionary Tina Modotti.
  • D. Los Lilas
    Los Lilas is the popular nickname of Chilean football club Deportes Concepción, known for its distinctive purple team colors.
  • E. Arielito
    Arielito is a diminutive form of the given name Ariel, often used as an affectionate nickname in Spanish-speaking contexts.
  • 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_69e2458a92ec81908fc1cd5f6407d2ab completed April 17, 2026, 2:36 p.m.
NER Named-entity recognition batch_69f17f5c1ed88190aeac131c5aff6102 completed April 29, 2026, 3:47 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0bae9e1a24819087d826cf677fcad5 completed May 19, 2026, 12:28 a.m.
NEDg Description generation batch_6a0bb08f167081908ff4bd13e291afb5 completed May 19, 2026, 12:36 a.m.
NED2 Entity disambiguation (via description) batch_6a0bb10db81c8190a23d57c422a71675 completed May 19, 2026, 12:38 a.m.
Created at: April 17, 2026, 3:39 p.m.