Triple
T28937055
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Liebfrauenkirche Koblenz |
E730345
|
entity |
| Predicate | roofOnionDomesAdded |
P166040
|
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: [Liebfrauenkirche Koblenz, roofOnionDomesAdded, 17th century]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: roofOnionDomesAdded Context triple: [Liebfrauenkirche Koblenz, roofOnionDomesAdded, 17th century]
-
A.
hasDomeOrSpire
Indicates that one entity possesses or features a dome or spire as part of its structure.
-
B.
constructionOfDomeStartYear
Indicates the calendar year in which the construction of a dome began.
-
C.
minaretAdded
Indicates that a minaret has been constructed and incorporated into an existing structure or site.
-
D.
hasDomeDecoration
Indicates that an entity’s dome is adorned with specific decorative elements or ornamentation.
-
E.
hasDomeOrTower
Indicates that one entity possesses or features a dome or a tower as part of its structure.
- 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_69f043ea0aa88190a25acbf46157995a |
completed | April 28, 2026, 5:21 a.m. |
| NER | Named-entity recognition | batch_69f65bb75cd08190bbdb63c093ad6210 |
completed | May 2, 2026, 8:16 p.m. |
| PD | Predicate disambiguation | batch_69f659d02f1c8190831758ac52bb54e4 |
completed | May 2, 2026, 8:08 p.m. |
| PDg | Predicate description generation | batch_69f65b136b30819090cf59fb772f35f1 |
completed | May 2, 2026, 8:14 p.m. |
Created at: April 28, 2026, 8:33 a.m.