Triple

T10270218
Position Surface form Disambiguated ID Type / Status
Subject Commission for Developing Countries E240813 entity
Predicate collaboratesWith P37 FINISHED
Object Abel Board
Abel Board is an organization or body that works in partnership with the Commission for Developing Countries, likely contributing expertise or support to initiatives focused on development issues.
E853155 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: Abel Board | Statement: [Commission for Developing Countries, collaboratesWith, Abel Board]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Abel Board
Context triple: [Commission for Developing Countries, collaboratesWith, Abel Board]
  • A. Able
    Able was the codename for the first of the Operation Crossroads nuclear tests conducted by the United States at Bikini Atoll in 1946.
  • B. Abas
    Abas is a figure in Greek mythology known primarily as the son of Hypermnestra and a king of Argos in some traditions.
  • C. Abi
    Abi is a local government area in Cross River State, Nigeria, known for its rural communities and agricultural activities.
  • D. Abella
    Abella was an ancient town in Campania, Italy, known from Roman-era inscriptions and archaeological remains.
  • E. Abella
    Abella is an interactive theorem prover and proof assistant designed for reasoning about relational specifications, particularly those involving higher-order abstract syntax and inductive and coinductive definitions.
  • 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: Abel Board
Triple: [Commission for Developing Countries, collaboratesWith, Abel Board]
Generated description
Abel Board is an organization or body that works in partnership with the Commission for Developing Countries, likely contributing expertise or support to initiatives focused on development issues.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Abel Board
Target entity description: Abel Board is an organization or body that works in partnership with the Commission for Developing Countries, likely contributing expertise or support to initiatives focused on development issues.
  • A. Able
    Able was the codename for the first of the Operation Crossroads nuclear tests conducted by the United States at Bikini Atoll in 1946.
  • B. Abas
    Abas is a figure in Greek mythology known primarily as the son of Hypermnestra and a king of Argos in some traditions.
  • C. Abi
    Abi is a local government area in Cross River State, Nigeria, known for its rural communities and agricultural activities.
  • D. Abella
    Abella was an ancient town in Campania, Italy, known from Roman-era inscriptions and archaeological remains.
  • E. Abella
    Abella is an interactive theorem prover and proof assistant designed for reasoning about relational specifications, particularly those involving higher-order abstract syntax and inductive and coinductive definitions.
  • 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_69d381a94c1881908fc38fc263d9b9c2 completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d4d270fb088190ba43b6f24e881b94 completed April 7, 2026, 9:46 a.m.
NED1 Entity disambiguation (via context triple) batch_69d6f80c25888190a3e8a2c513df7043 completed April 9, 2026, 12:51 a.m.
NEDg Description generation batch_69d6fcaca55c81908a48ac2a0ce24b85 completed April 9, 2026, 1:11 a.m.
NED2 Entity disambiguation (via description) batch_69d6fd772bc08190bf270f5fc767fb29 completed April 9, 2026, 1:14 a.m.
Created at: April 6, 2026, 11:35 a.m.