Triple
T36178067
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Goldene Waage (reconstructed building) |
E1046629
|
entity |
| Predicate | reconstructionGoal |
P45567
|
FINISHED |
| Object | faithful replication of original appearance |
—
|
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: faithful replication of original appearance | Statement: [Goldene Waage (reconstructed building), reconstructionGoal, faithful replication of original appearance]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: reconstructionGoal Context triple: [Goldene Waage (reconstructed building), reconstructionGoal, faithful replication of original appearance]
-
A.
restorationGoal
chosen
Indicates that an action or plan is intended to return something to a previous, original, or improved state or condition.
-
B.
reconstructionFor
Indicates that one entity serves as a reconstruction, restoration, or rebuilt version of another entity.
-
C.
reconstructionMotivation
Indicates the reason or driving purpose behind undertaking a reconstruction of something that previously existed.
-
D.
reconstructionFeature
Indicates that one entity serves as a feature, component, or characteristic used in the reconstruction or restoration of another entity.
-
E.
reconstructionChallenge
Indicates a situation where accurately rebuilding or restoring something from incomplete, damaged, or complex information is difficult or problematic.
- 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_69f76e3c1b10819081fc7a807a71cf84 |
completed | May 3, 2026, 3:48 p.m. |
| NER | Named-entity recognition | batch_69f7b69b333081909cadbed3fcb8ecf5 |
completed | May 3, 2026, 8:56 p.m. |
| PD | Predicate disambiguation | batch_69f7b4c2a5f8819094ad4621d7b97e0c |
completed | May 3, 2026, 8:49 p.m. |
Created at: May 3, 2026, 4:08 p.m.