Triple
T50458
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | House of Orange-Nassau |
E990
|
entity |
| Predicate | coatOfArmsFeatures |
P2907
|
FINISHED |
| Object | orange lion |
—
|
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: orange lion | Statement: [House of Orange-Nassau, coatOfArmsFeatures, orange lion]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: coatOfArmsFeatures Context triple: [House of Orange-Nassau, coatOfArmsFeatures, orange lion]
-
A.
coatOfArms
Indicates that one entity serves as the heraldic emblem or coat of arms representing another entity.
-
B.
featuredUnionJackVariant
Indicates that an entity prominently displays or uses a specific variant of the Union Jack as a key identifying or decorative feature.
-
C.
hasHeraldicFamily
Indicates that an entity is associated with a particular heraldic family or lineage, typically sharing the same coat of arms or heraldic identity.
-
D.
nationalFlag
Indicates that one entity is the official national flag representing the other entity (a country or nation).
-
E.
hasTypeOfInsignia
Indicates that an entity bears or is associated with a specific kind or category of insignia.
- 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_69a2480baefc81909951b14058479aa2 |
completed | Feb. 28, 2026, 1:42 a.m. |
| NER | Named-entity recognition | batch_69a24ba7016481909d595402712db6e2 |
completed | Feb. 28, 2026, 1:57 a.m. |
| PD | Predicate disambiguation | batch_69a24ac23f04819080cef9365ed990d4 |
completed | Feb. 28, 2026, 1:54 a.m. |
| PDg | Predicate description generation | batch_69a24ba5da048190a484963cb5a9bb2b |
completed | Feb. 28, 2026, 1:57 a.m. |
Created at: Feb. 28, 2026, 1:47 a.m.