Triple
T24490220
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Coat of arms of Amsterdam |
E617620
|
entity |
| Predicate | crownOrigin |
P156513
|
FINISHED |
| Object | Imperial Crown of the Holy Roman Empire |
—
|
NE NERFINISHED |
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: Imperial Crown of the Holy Roman Empire | Statement: [Coat of arms of Amsterdam, crownOrigin, Imperial Crown of the Holy Roman Empire]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: crownOrigin Context triple: [Coat of arms of Amsterdam, crownOrigin, Imperial Crown of the Holy Roman Empire]
-
A.
crownDepicted
Indicates that one entity visually represents or shows a crown associated with another entity.
-
B.
crownType
Indicates the specific style or form of a crown associated with an entity.
-
C.
crownCharacteristic
Indicates that an entity has a particular property, feature, or quality specifically associated with its crown.
-
D.
crownContains
Indicates that a crown includes or holds within it a specified object, element, or component.
-
E.
crownPresent
Indicates that a crown is currently present on or with the relevant entity.
- 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_69e2d7f4e6bc8190aec540ae3b9ed7f2 |
completed | April 18, 2026, 1:01 a.m. |
| NER | Named-entity recognition | batch_69f2a9d912e88190bc39c05a9d7f407e |
completed | April 30, 2026, 1:01 a.m. |
| PD | Predicate disambiguation | batch_69f2a6a4580481908fddc385f5262f95 |
completed | April 30, 2026, 12:47 a.m. |
| PDg | Predicate description generation | batch_69f2a9d795288190916368e3cec1f666 |
completed | April 30, 2026, 1:01 a.m. |
Created at: April 18, 2026, 2:22 a.m.