Triple

T15722728
Position Surface form Disambiguated ID Type / Status
Subject Sagay E381139 entity
Predicate hasBarangay P29835 FINISHED
Object Colonia Divina
Colonia Divina is a rural barangay in the city of Sagay in Negros Occidental, Philippines.
E1173278 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: Colonia Divina | Statement: [Sagay, hasBarangay, Colonia Divina]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Colonia Divina
Context triple: [Sagay, hasBarangay, Colonia Divina]
  • A. Colonia Doctores
    Colonia Doctores is a traditional central neighborhood in Mexico City known for its historic streets, mixed residential and commercial character, and proximity to major civic and cultural institutions.
  • B. Colonia
    Colonia is the main administrative and population center of Yap State in the Federated States of Micronesia, located on the island of Yap.
  • C. Colonia
    Colonia is the historical Latin name for the German city of Cologne, reflecting its origins as a Roman colony.
  • D. Colonia Maza
    Colonia Maza is a neighborhood in Mexico City located within the central borough of Cuauhtémoc.
  • E. Colonia Narvarte
    Colonia Narvarte is a centrally located residential and commercial neighborhood in Mexico City known for its mid-20th-century architecture, tree-lined streets, and vibrant urban life.
  • 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: Colonia Divina
Triple: [Sagay, hasBarangay, Colonia Divina]
Generated description
Colonia Divina is a rural barangay in the city of Sagay in Negros Occidental, Philippines.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Colonia Divina
Target entity description: Colonia Divina is a rural barangay in the city of Sagay in Negros Occidental, Philippines.
  • A. Colonia Doctores
    Colonia Doctores is a traditional central neighborhood in Mexico City known for its historic streets, mixed residential and commercial character, and proximity to major civic and cultural institutions.
  • B. Colonia
    Colonia is the main administrative and population center of Yap State in the Federated States of Micronesia, located on the island of Yap.
  • C. Colonia
    Colonia is the historical Latin name for the German city of Cologne, reflecting its origins as a Roman colony.
  • D. Colonia Maza
    Colonia Maza is a neighborhood in Mexico City located within the central borough of Cuauhtémoc.
  • E. Colonia Narvarte
    Colonia Narvarte is a centrally located residential and commercial neighborhood in Mexico City known for its mid-20th-century architecture, tree-lined streets, and vibrant urban life.
  • 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_69d86d9bf930819082b30cf6d169297c completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e04fb1fdd4819088f3e243263e5f73 completed April 16, 2026, 2:55 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff82f68bf881909e5ad8a6ab81684a completed May 9, 2026, 6:54 p.m.
NEDg Description generation batch_69ff8388b3588190ae55c123bb19cb2c completed May 9, 2026, 6:57 p.m.
NED2 Entity disambiguation (via description) batch_69ff84125e808190a4d465d9effad639 completed May 9, 2026, 6:59 p.m.
Created at: April 10, 2026, 4:45 a.m.