Triple
T9934981
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Minister of Justice of Belgium |
E192735
|
entity |
| Predicate | seatInBuilding |
P68735
|
FINISHED |
| Object | Justice-related offices in Brussels-Capital Region |
—
|
LITERAL FINISHED |
How this triple was built (2 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: Justice-related offices in Brussels-Capital Region | Statement: [Minister of Justice of Belgium, seatInBuilding, Justice-related offices in Brussels-Capital Region]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: seatInBuilding Context triple: [Minister of Justice of Belgium, seatInBuilding, Justice-related offices in Brussels-Capital Region]
-
A.
hasSeatBuilding
chosen
Indicates that a seat (or seating area) is located within or belongs to a particular building.
-
B.
seatLocatedIn
Indicates that a seat is situated within or belongs to a specific location or area.
-
C.
seatLocatedAt
Indicates that a seat is positioned or situated at a specific location or place.
-
D.
seatSince
Indicates that an entity has held a particular seat, position, or place continuously since a specified point in time.
-
E.
seatBuildingFunction
Indicates that a building or structure serves a seating-related function, such as providing places for people to sit or be accommodated.
- F. None of above.
Provenance (3 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. |
| PD | Predicate disambiguation | batch_69cd1d9428cc81909b4b4938566d78a7 |
completed | April 1, 2026, 1:28 p.m. |
Created at: March 30, 2026, 8:44 p.m.