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.