Triple

T8433820
Position Surface form Disambiguated ID Type / Status
Subject Municipality of Ensenada E199176 entity
Predicate contains P35 FINISHED
Object Colonet
Colonet is a rural community in the municipality of Ensenada in Baja California, Mexico, known for its agricultural activity and proposed deep-water port development.
 E734236 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: Colonet | Statement: [Municipality of Ensenada, contains, Colonet]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Colonet
Context triple: [Municipality of Ensenada, contains, Colonet]
  • A. Kolonia
    Kolonia is the main urban center and former administrative hub on the island of Pohnpei in the Federated States of Micronesia.
  • B. Colonia
    Colonia is the historical Latin name for the German city of Cologne, reflecting its origins as a Roman colony.
  • C. Colonia
    Colonia is the main administrative and population center of Yap State in the Federated States of Micronesia, located on the island of Yap.
  • D. Colonarie
    Colonarie is a small village in Saint Vincent and the Grenadines, known as the birthplace of Prime Minister Ralph Gonsalves.
  • E. Colonie
    Colonie is a large suburban town in eastern New York State that serves as one of the primary residential and commercial communities in the Albany metropolitan area.
  • 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: Colonet
Triple: [Municipality of Ensenada, contains, Colonet]
Generated description
Colonet is a rural community in the municipality of Ensenada in Baja California, Mexico, known for its agricultural activity and proposed deep-water port development.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Colonet
Target entity description: Colonet is a rural community in the municipality of Ensenada in Baja California, Mexico, known for its agricultural activity and proposed deep-water port development.
  • A. Kolonia
    Kolonia is the main urban center and former administrative hub on the island of Pohnpei in the Federated States of Micronesia.
  • B. Colonia
    Colonia is the historical Latin name for the German city of Cologne, reflecting its origins as a Roman colony.
  • C. Colonia
    Colonia is the main administrative and population center of Yap State in the Federated States of Micronesia, located on the island of Yap.
  • D. Colonarie
    Colonarie is a small village in Saint Vincent and the Grenadines, known as the birthplace of Prime Minister Ralph Gonsalves.
  • E. Colonie
    Colonie is a large suburban town in eastern New York State that serves as one of the primary residential and commercial communities in the Albany metropolitan area.
  • 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_69ca8314cd6c8190a6b8c2a1096e18f3 completed March 30, 2026, 2:05 p.m.
NER Named-entity recognition batch_69cbd1a74d948190abd76e7a6efb42ec completed March 31, 2026, 1:52 p.m.
NED1 Entity disambiguation (via context triple) batch_69ce1d71d9748190903ed97dde6d28f4 completed April 2, 2026, 7:40 a.m.
NEDg Description generation batch_69ce1fb008988190ae8e148cd937f5c4 completed April 2, 2026, 7:50 a.m.
NED2 Entity disambiguation (via description) batch_69ce205313fc8190863dbc6c904ef1af completed April 2, 2026, 7:52 a.m.
Created at: March 30, 2026, 6:07 p.m.