Triple
T5246461
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | La Force prison |
E118470
|
entity |
| Predicate | architecturalOrigin |
P61698
|
FINISHED |
| Object | converted from aristocratic residence |
—
|
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: converted from aristocratic residence | Statement: [La Force prison, architecturalOrigin, converted from aristocratic residence]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: architecturalOrigin Context triple: [La Force prison, architecturalOrigin, converted from aristocratic residence]
-
A.
architecturalInfluence
Indicates that one architectural style, structure, or designer has had a formative impact on the design, style, or features of another.
-
B.
architecturalConcept
Indicates that one entity represents or embodies an architectural concept in relation to another entity.
-
C.
architecturalContribution
Indicates a relationship where an entity contributes to the design, planning, or creation of an architectural work or feature.
-
D.
architecturalWork
Indicates that one entity is an architectural creation (such as a building or structure) designed or realized by another entity.
-
E.
buildingArchitectOfOriginal
Indicates that an entity is the architect responsible for the original design of a particular building.
- 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_69bd4468aacc8190a8196f71855cdf4f |
completed | March 20, 2026, 12:58 p.m. |
| NER | Named-entity recognition | batch_69bd7b5320748190bcf3be4b6c364f92 |
completed | March 20, 2026, 4:52 p.m. |
| PD | Predicate disambiguation | batch_69bd77c30bac8190a883ca45da35d667 |
completed | March 20, 2026, 4:37 p.m. |
| PDg | Predicate description generation | batch_69bd787975788190848ffbac87896efe |
completed | March 20, 2026, 4:40 p.m. |
Created at: March 20, 2026, 1:50 p.m.