Triple

T25441413
Position Surface form Disambiguated ID Type / Status
Subject Central Board of Secondary Education E637515 entity
Predicate typeOfBoard P71981 FINISHED
Object central board
A central board is a national-level educational authority that standardizes curricula, examinations, and academic policies across multiple regions or schools within a country.
 E1681680 NE FINISHED

How this triple was built (3 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: central board | Statement: [Central Board of Secondary Education, typeOfBoard, central board]
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: central board
Triple: [Central Board of Secondary Education, typeOfBoard, central board]
Generated description
A central board is a national-level educational authority that standardizes curricula, examinations, and academic policies across multiple regions or schools within a country.
PD Predicate disambiguation gpt-5-mini-2025-08-07 
Target predicate: typeOfBoard
Context triple: [Central Board of Secondary Education, typeOfBoard, central board]
  • A. hasBoardType chosen
    Indicates that an entity is associated with or uses a specific type or category of board.
  • B. usesBoardShape
    Indicates that one entity employs or is designed to work with a particular board shape as part of its function or configuration.
  • C. board
    Indicates that an agent gets onto or into a vehicle, vessel, or craft in order to travel or be transported.
  • D. boardName
    Indicates the name or title assigned to a specific board within a system or context.
  • E. mainBoardName
    Indicates the name or designation assigned to a main board (e.g., primary circuit board or central hardware board) associated with an entity.
  • F. None of above.

Provenance (6 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_69e75db6c97081908178383fa632b193 completed April 21, 2026, 11:21 a.m.
NER Named-entity recognition batch_69f6db1f3ec48190a82e7d893d3c76ba completed May 3, 2026, 5:20 a.m.
NED1 Entity disambiguation (via context triple) batch_6a1089a6e22c8190b5e7fdef343be2c0 completed May 22, 2026, 4:51 p.m.
NEDg Description generation batch_6a109013dae8819096f6c23fd70dbe49 completed May 22, 2026, 5:19 p.m.
NED2 Entity disambiguation (via description) batch_6a10989a11a88190b60f53a00f25a395 completed May 22, 2026, 5:55 p.m.
PD Predicate disambiguation batch_69f6d82adfa481908a5e196d2e18c73f completed May 3, 2026, 5:07 a.m.
Created at: April 21, 2026, 2 p.m.