Triple
T12210002
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Loevestein Castle |
E290931
|
entity |
| Predicate | eraOfMajorUseAsPrison |
P15559
|
FINISHED |
| Object | 17th century |
—
|
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: 17th century | Statement: [Loevestein Castle, eraOfMajorUseAsPrison, 17th century]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: eraOfMajorUseAsPrison Context triple: [Loevestein Castle, eraOfMajorUseAsPrison, 17th century]
-
A.
periodOfUseAsPrison
chosen
Indicates the time span during which something functioned or was used as a prison.
-
B.
usedForImprisoning
Indicates that something serves as a means, tool, or method for confining or detaining someone against their will.
-
C.
majorPenitentiary
Indicates that an entity serves as a primary or principal penitentiary (major prison) within a given system or jurisdiction.
-
D.
wasImprisonedIn
Indicates that an entity was held in confinement or incarcerated at a particular place or facility.
-
E.
prisonType
Indicates the specific category or classification of a prison associated with an entity.
- 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_69d6ab65923081909acfc61b7a612233 |
completed | April 8, 2026, 7:24 p.m. |
| NER | Named-entity recognition | batch_69d920e312708190b4aede2e21f5f697 |
completed | April 10, 2026, 4:10 p.m. |
| PD | Predicate disambiguation | batch_69d91c3d669c81908eea7ad61122d275 |
completed | April 10, 2026, 3:50 p.m. |
Created at: April 8, 2026, 9:51 p.m.