Triple
T1004777
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Chamber of Deputies (Luxembourg) |
E21683
|
entity |
| Predicate | hasPlenarySessions |
P21719
|
FINISHED |
| Object | in Luxembourg City |
—
|
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: in Luxembourg City | Statement: [Chamber of Deputies (Luxembourg), hasPlenarySessions, in Luxembourg City]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasPlenarySessions Context triple: [Chamber of Deputies (Luxembourg), hasPlenarySessions, in Luxembourg City]
-
A.
hasPlenaryChamber
Indicates that an institution or governing body possesses a designated plenary chamber where all members can meet and deliberate together.
-
B.
hasGeneralAssembly
Indicates that an entity possesses or is associated with a general assembly as its formal deliberative or decision-making body.
-
C.
hasLegislativeSessionCount
Indicates the number of legislative sessions associated with a given legislative body, term, or jurisdiction.
-
D.
canHoldSpecialSessions
Indicates that an entity has the authority or capability to convene special or extraordinary sessions outside the regular schedule.
-
E.
heldPublicHearings
Indicates that formal meetings open to the public were conducted to gather input, discuss issues, or present information.
- F. None of above. chosen
Provenance (4 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_69a493c53e648190ae8cb76c433fd9a7 |
completed | March 1, 2026, 7:30 p.m. |
| NER | Named-entity recognition | batch_69a4b51303548190a5ee3c0797fc3245 |
completed | March 1, 2026, 9:52 p.m. |
| PD | Predicate disambiguation | batch_69a4b2b2e7108190b338b6c19d4aff55 |
completed | March 1, 2026, 9:42 p.m. |
| PDg | Predicate description generation | batch_69a4b326d9d88190913c1a892a795707 |
completed | March 1, 2026, 9:44 p.m. |
Created at: March 1, 2026, 7:41 p.m.