Triple
T1753610
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | King Baudouin of Belgium |
E38501
|
entity |
| Predicate | temporaryIncapacityEnded |
P32779
|
FINISHED |
| Object | 1990-04-05 |
—
|
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: 1990-04-05 | Statement: [King Baudouin of Belgium, temporaryIncapacityEnded, 1990-04-05]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: temporaryIncapacityEnded Context triple: [King Baudouin of Belgium, temporaryIncapacityEnded, 1990-04-05]
-
A.
dateOfRehabilitation
Indicates the specific date on which a rehabilitation process, status, or measure for an entity was completed, granted, or took effect.
-
B.
hadOccupationStatusUntil
Indicates that an entity held a particular occupational status up to, but not necessarily beyond, a specified point in time.
-
C.
temporaryRetirement
Indicates a state in which an entity has withdrawn from its usual role or activity for a limited period, with the expectation of returning later.
-
D.
stoppedAt
Indicates that an entity has come to a halt or pause at a specific location or point in time.
-
E.
typeOfOccupationEnded
Indicates that a particular type of occupation or job role has come to an end for an entity.
- 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_69a8862bdb2081908aefe831c8aa8017 |
completed | March 4, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69aba6a63f588190b53b39c6b97d74f4 |
completed | March 7, 2026, 4:16 a.m. |
| PD | Predicate disambiguation | batch_69aa61c7ef4c8190abec87c96a787d82 |
completed | March 6, 2026, 5:10 a.m. |
| PDg | Predicate description generation | batch_69aba6a4c84c8190b3ce0bf69c2b5f6d |
completed | March 7, 2026, 4:16 a.m. |
Created at: March 4, 2026, 7:31 p.m.