Triple

T20108469
Position Surface form Disambiguated ID Type / Status
Subject Bonavista—Burin—Trinity E490259 entity
Predicate hasCensusSubdivision P138716 FINISHED
Object Gambo
Gambo is a small town and local service center in northeastern Newfoundland and Labrador, Canada.
 E1284303 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: Gambo | Statement: [Bonavista—Burin—Trinity, hasCensusSubdivision, Gambo]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Gambo
Context triple: [Bonavista—Burin—Trinity, hasCensusSubdivision, Gambo]
  • A. Gambo
    Gambo is a variant spelling of the surname Gambón, likely of Spanish origin.
  • B. Guma
    Guma is a local government area in Benue State, Nigeria, known for its agrarian communities and location in the state's central region.
  • C. Kabuna
    Kabuna is a small village located on Abemama Atoll in the island nation of Kiribati in the central Pacific Ocean.
  • D. Kabuna
    Kabuna is a small village located on the atoll of Tabiteuea in the island nation of Kiribati in the central Pacific Ocean.
  • E. Dongo
    Dongo is a small town on the northwestern shore of Lake Como in Lombardy, Italy, known for its role in the capture of Benito Mussolini at the end of World War II.
  • 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: Gambo
Triple: [Bonavista—Burin—Trinity, hasCensusSubdivision, Gambo]
Generated description
Gambo is a small town and local service center in northeastern Newfoundland and Labrador, Canada.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Gambo
Target entity description: Gambo is a small town and local service center in northeastern Newfoundland and Labrador, Canada.
  • A. Gambo chosen
    Gambo is a variant spelling of the surname Gambón, likely of Spanish origin.
  • B. Guma
    Guma is a local government area in Benue State, Nigeria, known for its agrarian communities and location in the state's central region.
  • C. Kabuna
    Kabuna is a small village located on the atoll of Tabiteuea in the island nation of Kiribati in the central Pacific Ocean.
  • D. Kabuna
    Kabuna is a small village located on Abemama Atoll in the island nation of Kiribati in the central Pacific Ocean.
  • E. Dongo
    Dongo is a small town on the northwestern shore of Lake Como in Lombardy, Italy, known for its role in the capture of Benito Mussolini at the end of World War II.
  • F. None of above.

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_69da62636cc08190982cc71733a17b8d completed April 11, 2026, 3:01 p.m.
NER Named-entity recognition batch_69e666ddb09881909ad2aedd1e8a78da completed April 20, 2026, 5:48 p.m.
NED1 Entity disambiguation (via context triple) batch_6a082717054c8190b0a0a50c64d12a52 completed May 16, 2026, 8:13 a.m.
NEDg Description generation batch_6a0828c126608190b08561b45eee36eb completed May 16, 2026, 8:20 a.m.
NED2 Entity disambiguation (via description) batch_6a0829a921688190a52538f7537e4ce5 completed May 16, 2026, 8:24 a.m.
Created at: April 11, 2026, 11:28 p.m.