Triple

T9934453
Position Surface form Disambiguated ID Type / Status
Subject Federal Public Services of Belgium E192724 entity
Predicate alsoKnownAs P39 FINISHED
Object SPF
SPF is the French abbreviation commonly used to refer to Belgium’s Federal Public Services, the national administrative bodies that support the federal government.
E830131 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: SPF | Statement: [Federal Public Services of Belgium, alsoKnownAs, SPF]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: SPF
Context triple: [Federal Public Services of Belgium, alsoKnownAs, SPF]
  • A. SEP
    SEP is the Mexican federal government department responsible for overseeing and regulating the national education system.
  • B. SEP
    SEP is the commonly used abbreviation for Sociedade Esportiva Palmeiras, one of Brazil’s most successful and popular football clubs.
  • C. SEP
    SEP is a peer-reviewed, open-access online reference work that provides in-depth scholarly articles on a wide range of topics in philosophy.
  • D. SPS
    SPS is the abbreviation of the Socialist Party of Serbia, a major left-wing political party in Serbia.
  • E. SPS
    SPS is a high-energy circular particle accelerator at CERN that serves as a key injector for the Large Hadron Collider and supports a wide range of physics experiments.
  • 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: SPF
Triple: [Federal Public Services of Belgium, alsoKnownAs, SPF]
Generated description
SPF is the French abbreviation commonly used to refer to Belgium’s Federal Public Services, the national administrative bodies that support the federal government.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: SPF
Target entity description: SPF is the French abbreviation commonly used to refer to Belgium’s Federal Public Services, the national administrative bodies that support the federal government.
  • A. SPF Intérieur chosen
    SPF Intérieur is Belgium’s Federal Public Service responsible for internal affairs, including public security, civil protection, and the management of population and territorial administration.
  • B. SEP
    SEP is the Mexican federal government department responsible for overseeing and regulating the national education system.
  • C. SEP
    SEP is the commonly used abbreviation for Sociedade Esportiva Palmeiras, one of Brazil’s most successful and popular football clubs.
  • D. SEP
    SEP is a peer-reviewed, open-access online reference work that provides in-depth scholarly articles on a wide range of topics in philosophy.
  • E. SPS
    SPS is a high-energy circular particle accelerator at CERN that serves as a key injector for the Large Hadron Collider and supports a wide range of physics experiments.
  • 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_69ca82dd978c8190947124ab0d3315ac completed March 30, 2026, 2:04 p.m.
NER Named-entity recognition batch_69cdb5e263208190b6ea8b8b4e29805d completed April 2, 2026, 12:18 a.m.
NED1 Entity disambiguation (via context triple) batch_69d228ddecfc8190850a098bf4074cc3 completed April 5, 2026, 9:18 a.m.
NEDg Description generation batch_69d22cc9284c8190be92710f37877846 completed April 5, 2026, 9:35 a.m.
NED2 Entity disambiguation (via description) batch_69d22d2997ec81909cb1267ab0066cd5 completed April 5, 2026, 9:36 a.m.
Created at: March 30, 2026, 8:44 p.m.