Triple
T6605623
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Grimbergen |
E149109
|
entity |
| Predicate | hasPart |
P35
|
FINISHED |
| Object |
Beigem
Beigem is a village in the Flemish Brabant province of Belgium, known as a sub-municipality of Grimbergen.
|
E601825
|
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: Beigem | Statement: [Grimbergen, hasPart, Beigem]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Beigem Context triple: [Grimbergen, hasPart, Beigem]
-
A.
Blau
The Blau is a small river in the German state of Baden-Württemberg that flows through the city of Blaustein before joining the Danube.
-
B.
Borouge
Borouge is a leading petrochemicals company based in the United Arab Emirates, specializing in the production of polyolefins for packaging, infrastructure, and industrial applications.
-
C.
Aokaparangi
Aokaparangi is a mountain peak in New Zealand’s Tararua Range, popular with trampers for its alpine terrain and expansive views.
-
D.
Branquiazuis
Branquiazuis is a popular nickname for the Spanish football club Deportivo de La Coruña, referring to the team's traditional blue and white colors.
-
E.
Egrisi
Egrisi was a medieval Georgian kingdom that emerged as a successor to ancient Colchis in the western Caucasus region.
- 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: Beigem Triple: [Grimbergen, hasPart, Beigem]
Generated description
Beigem is a village in the Flemish Brabant province of Belgium, known as a sub-municipality of Grimbergen.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Beigem Target entity description: Beigem is a village in the Flemish Brabant province of Belgium, known as a sub-municipality of Grimbergen.
-
A.
Blau
The Blau is a small river in the German state of Baden-Württemberg that flows through the city of Blaustein before joining the Danube.
-
B.
Borouge
Borouge is a leading petrochemicals company based in the United Arab Emirates, specializing in the production of polyolefins for packaging, infrastructure, and industrial applications.
-
C.
Aokaparangi
Aokaparangi is a mountain peak in New Zealand’s Tararua Range, popular with trampers for its alpine terrain and expansive views.
-
D.
Branquiazuis
Branquiazuis is a popular nickname for the Spanish football club Deportivo de La Coruña, referring to the team's traditional blue and white colors.
-
E.
Egrisi
Egrisi was a medieval Georgian kingdom that emerged as a successor to ancient Colchis in the western Caucasus region.
- 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_69c687eaa7508190bb58ce2aa02039b3 |
completed | March 27, 2026, 1:36 p.m. |
| NER | Named-entity recognition | batch_69c6af143d5c8190b62602602510b1cb |
completed | March 27, 2026, 4:23 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c6cbce25b481908d600d38d3c5b871 |
completed | March 27, 2026, 6:26 p.m. |
| NEDg | Description generation | batch_69c6cd09753c81909df166156ffbf82a |
completed | March 27, 2026, 6:31 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69c6ce9ba47c819091496c87117e7a03 |
completed | March 27, 2026, 6:38 p.m. |
Created at: March 27, 2026, 1:56 p.m.