Triple

T10506102
Position Surface form Disambiguated ID Type / Status
Subject World's Children's Prize E247790 entity
Predicate shortName P43 FINISHED
Object WCP
WCP is the abbreviation for the World’s Children’s Prize, a global educational and rights initiative that empowers children to learn about and support child rights and child-rights advocates.
E867895 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: WCP | Statement: [World's Children's Prize, shortName, WCP]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: WCP
Context triple: [World's Children's Prize, shortName, WCP]
  • A. WCP
    WCP is the abbreviation for the World Climate Programme, an international initiative focused on understanding and addressing global climate variability and change.
  • B. WPK
    WPK is the ruling communist party of North Korea that dominates the country’s political system and state ideology.
  • C. WCPP
    WCPP is the legislative body of South Africa’s Western Cape province, responsible for making provincial laws and overseeing the provincial government.
  • D. WPN
    WPN is the vehicle registration code assigned to the town of Płońsk in Poland.
  • E. WPN
    WPN is the station code used to identify White Plains station in transportation and scheduling systems.
  • 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: WCP
Triple: [World's Children's Prize, shortName, WCP]
Generated description
WCP is the abbreviation for the World’s Children’s Prize, a global educational and rights initiative that empowers children to learn about and support child rights and child-rights advocates.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: WCP
Target entity description: WCP is the abbreviation for the World’s Children’s Prize, a global educational and rights initiative that empowers children to learn about and support child rights and child-rights advocates.
  • A. WCP
    WCP is the abbreviation for the World Climate Programme, an international initiative focused on understanding and addressing global climate variability and change.
  • B. WPK
    WPK is the ruling communist party of North Korea that dominates the country’s political system and state ideology.
  • C. WCPP
    WCPP is the legislative body of South Africa’s Western Cape province, responsible for making provincial laws and overseeing the provincial government.
  • D. WPN
    WPN is the vehicle registration code assigned to the town of Płońsk in Poland.
  • E. WPN
    WPN is the station code used to identify White Plains station in transportation and scheduling systems.
  • 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_69d381c4aa948190942e1d803143fb0e completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d509a07c908190bf0e3e5d480b306d completed April 7, 2026, 1:41 p.m.
NED1 Entity disambiguation (via context triple) batch_69d8dce30d788190b4a40340b9200b10 completed April 10, 2026, 11:20 a.m.
NEDg Description generation batch_69d8e8c9d5cc8190a425ed834855bbcd completed April 10, 2026, 12:10 p.m.
NED2 Entity disambiguation (via description) batch_69d9020bce488190b78e555cdd5caec4 completed April 10, 2026, 1:58 p.m.
Created at: April 6, 2026, 12:26 p.m.