Triple

T239274
Position Surface form Disambiguated ID Type / Status
Subject Cundinamarca E4891 entity
Predicate contains P35 FINISHED
Object Apulo
Apulo is a small municipality and tourist town in the Cundinamarca Department of central Colombia, known for its warm climate and recreational resorts.
 E33516 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: Apulo | Statement: [Cundinamarca, contains, Apulo]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Apulo
Context triple: [Cundinamarca, contains, Apulo]
  • A. Dorotheus
    Dorotheus was a 6th-century Byzantine jurist who helped systematize and codify Roman law under Emperor Justinian I.
  • B. Paolo
    Paolo is the Italian form of the given name Paul, commonly used in Italy and other Italian-speaking communities.
  • C. Pól
    Pól is the Irish-language form of the given name Paul.
  • D. Andreas
    Andreas is a masculine given name of Greek origin, commonly used in various European and international cultures.
  • E. Praxeas
    Praxeas was an early Christian theologian known for promoting a modalistic view of the Trinity that was later deemed heretical by mainstream church authorities.
  • 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: Apulo
Triple: [Cundinamarca, contains, Apulo]
Generated description
Apulo is a small municipality and tourist town in the Cundinamarca Department of central Colombia, known for its warm climate and recreational resorts.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Apulo
Target entity description: Apulo is a small municipality and tourist town in the Cundinamarca Department of central Colombia, known for its warm climate and recreational resorts.
  • A. Dorotheus
    Dorotheus was a 6th-century Byzantine jurist who helped systematize and codify Roman law under Emperor Justinian I.
  • B. Paolo
    Paolo is the Italian form of the given name Paul, commonly used in Italy and other Italian-speaking communities.
  • C. Pól
    Pól is the Irish-language form of the given name Paul.
  • D. Andreas
    Andreas is a masculine given name of Greek origin, commonly used in various European and international cultures.
  • E. Praxeas
    Praxeas was an early Christian theologian known for promoting a modalistic view of the Trinity that was later deemed heretical by mainstream church authorities.
  • 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_69a257c3d0708190b0871c4269d273e6 completed Feb. 28, 2026, 2:49 a.m.
NER Named-entity recognition batch_69a25ceaecdc81909e9ff49cb6a4e02a completed Feb. 28, 2026, 3:11 a.m.
NED1 Entity disambiguation (via context triple) batch_69a3837270f88190af91bab054bd1fbb completed March 1, 2026, 12:08 a.m.
NEDg Description generation batch_69a384140aec8190ab918512cf088464 completed March 1, 2026, 12:11 a.m.
NED2 Entity disambiguation (via description) batch_69a3848c0ed08190acf0d0e33ca8b41c completed March 1, 2026, 12:13 a.m.
Created at: Feb. 28, 2026, 2:53 a.m.