Triple
T14747744
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Belgian Federal Public Service Science Policy |
E346517
|
entity |
| Predicate | shortName |
P43
|
FINISHED |
| Object |
BELSPO
BELSPO is the Belgian federal government body responsible for developing and implementing national science policy and coordinating research programs and scientific institutions.
|
E1117987
|
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: BELSPO | Statement: [Belgian Federal Public Service Science Policy, shortName, BELSPO]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: BELSPO Context triple: [Belgian Federal Public Service Science Policy, shortName, BELSPO]
-
A.
De Bolle
De Bolle is the surname of Catherine De Bolle, a prominent Belgian police official and former Executive Director of Europol.
-
B.
Bollen
Bollen is a village that forms part of the municipality of Achim in Lower Saxony, Germany.
-
C.
Borsele
Borsele is a municipality in the Dutch province of Zeeland, known for its rural landscape, villages, and the nearby Borssele nuclear power plant.
-
D.
Bruls
Bruls is a Dutch surname most notably borne by Hubert Bruls, a Dutch politician and long-serving mayor of Nijmegen.
-
E.
BORL
BORL was the stock ticker symbol for Borland, a software company known for its development tools and programming environments such as Turbo Pascal and Delphi.
- 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: BELSPO Triple: [Belgian Federal Public Service Science Policy, shortName, BELSPO]
Generated description
BELSPO is the Belgian federal government body responsible for developing and implementing national science policy and coordinating research programs and scientific institutions.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: BELSPO Target entity description: BELSPO is the Belgian federal government body responsible for developing and implementing national science policy and coordinating research programs and scientific institutions.
-
A.
De Bolle
De Bolle is the surname of Catherine De Bolle, a prominent Belgian police official and former Executive Director of Europol.
-
B.
Bollen
Bollen is a village that forms part of the municipality of Achim in Lower Saxony, Germany.
-
C.
Borsele
Borsele is a municipality in the Dutch province of Zeeland, known for its rural landscape, villages, and the nearby Borssele nuclear power plant.
-
D.
Bruls
Bruls is a Dutch surname most notably borne by Hubert Bruls, a Dutch politician and long-serving mayor of Nijmegen.
-
E.
BORL
BORL was the stock ticker symbol for Borland, a software company known for its development tools and programming environments such as Turbo Pascal and Delphi.
- 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_69d822e6f1c88190bc494d491a907114 |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69dec7d116e88190828b163b18d80f68 |
completed | April 14, 2026, 11:03 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fdfb982b5c8190a0340be2186f8b81 |
completed | May 8, 2026, 3:04 p.m. |
| NEDg | Description generation | batch_69fdfea2b720819089110c02dbd848bd |
completed | May 8, 2026, 3:17 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69fdff1368e48190bc079645996d85d8 |
completed | May 8, 2026, 3:19 p.m. |
Created at: April 10, 2026, 1:30 a.m.