Triple
T32565991
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Trifels Castle |
E832364
|
entity |
| Predicate | imprisonmentDateApprox |
P31117
|
FINISHED |
| Object | 1193 |
—
|
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: 1193 | Statement: [Trifels Castle, imprisonmentDateApprox, 1193]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: imprisonmentDateApprox Context triple: [Trifels Castle, imprisonmentDateApprox, 1193]
-
A.
dateOfImprisonmentEnd
Indicates the date on which an entity’s period of imprisonment or incarceration comes to an end.
-
B.
dateOfImprisonmentStart
Indicates the date on which an entity’s period of imprisonment begins.
-
C.
imprisonmentYear
chosen
Indicates the specific year in which an entity was imprisoned or placed into custody.
-
D.
dateOfConviction
Indicates the specific calendar date on which a person or entity was formally found guilty of an offense.
-
E.
imprisonedFor
Indicates that one entity is held in detention or jail as a consequence of, or in connection with, a specific reason, action, or offense committed by another entity or itself.
- 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_69f34927bb308190ad94da1b11cad13c |
completed | April 30, 2026, 12:20 p.m. |
| NER | Named-entity recognition | batch_69f6c60e575c81908817e7817c85c550 |
completed | May 3, 2026, 3:50 a.m. |
| PD | Predicate disambiguation | batch_69f6bd2a14b081908162923dfbf0a6f4 |
completed | May 3, 2026, 3:12 a.m. |
Created at: May 1, 2026, 1:03 a.m.